Grok 4.5 vs Qwen 3.6: Measured Intelligence vs Price, Context, and Openness (2026)

Grok 4.5 vs Qwen 3.6 in 2026: Grok 4.5 is the flagship model from SpaceXAI (formerly xAI), priced at USD 2 per million input tokens, USD 0.50 cached, and USD 6 per million output tokens, with a 500,000-token context window. It scores 54 on the independent Artificial Analysis Intelligence Index, version 4.1. Qwen 3.6 is a family from Alibaba, released April 2, 2026; the flagship proprietary tier, Qwen 3.6 Plus, costs USD 0.325 per million input tokens and USD 1.95 per million output tokens, offers a 1,000,000-token context window, and scores 40 on that same version 4.1 index — fourteen points below Grok 4.5. Grok 4.5 costs roughly six times more on input and roughly three times more on output, and its context window is half the size, but it holds a real, independently measured fourteen-point capability lead. This one is a genuine split: Grok 4.5 owns the measured intelligence, Qwen 3.6 owns the price, double the context, and an open-weight family you can self-host anywhere. Grok 4.5 is also currently blocked in the European Union, with a staged opening signaled for around mid-July 2026 — verify it for your region before you build.

Quick Verdict

We ran both models side-by-side over a working week on the same coding briefs, the same agentic tool-use loops, and the same long-context retrieval tasks. Unlike most of the closed-versus-open matchups we run, this one does not resolve to a single winner, and we are not going to pretend otherwise. It resolves to a line, and the whole page is about finding exactly where that line falls.

First, the capability. Both of these models have been scored by the same independent evaluator on the same yardstick: version 4.1 of the Artificial Analysis Intelligence Index. Grok 4.5 scores 54. Qwen 3.6 Plus scores 40. Fourteen points, same index, same evaluator, no vendor involved. That is the widest measured intelligence gap we have charted in this pairing group, and it is the single most important fact in Grok 4.5's favor.

Second, the price and the context. Qwen 3.6 Plus costs USD 0.325 per million input tokens against Grok's USD 2, and USD 1.95 per million output against Grok's USD 6. That is roughly six times cheaper on input and about three times cheaper on output — the line that dominates a real agentic bill. And its context window is 1,000,000 tokens against Grok's 500,000: double, not half. This is the mirror image of most Grok comparisons, where Grok usually wins context. Here it loses it.

Third, the chiasm. Grok 4.5 brings the measure: a fourteen-point independent intelligence lead and an independently charted coding score. Qwen 3.6 brings the economics and the reach: a floor price, double the context, an open-weight Apache 2.0 family you can download and self-host, and availability in every jurisdiction on earth — including the entire European Union, where Grok 4.5 currently cannot be used at all. Neither of those is a consolation prize. They are simply different things to want, and which one you want is a question about your workload, not about the models.

• Best independently measured intelligence: Grok 4.5 — 54 against 40 on version 4.1 of the Artificial Analysis Intelligence Index, the same index for both models, produced by an outside evaluator.
• Best price on every line: Qwen 3.6 Plus — about six times cheaper on input and about three times cheaper on output.
• Best context window: Qwen 3.6 Plus — 1,000,000 tokens against 500,000, exactly double.
• Best openness and availability: Qwen 3.6 — an open-weight Apache 2.0 family you can self-host in any jurisdiction, including every country where Grok 4.5 currently cannot be used.
• Best independent coding evidence: Grok 4.5 — it has an independent coding result at all, which Qwen 3.6 Plus does not.
• Overall: a genuine split. Take Grok 4.5 if independently measured intelligence is the thing you are actually buying and you can access the model. Take Qwen 3.6 if you are cost-bound, context-bound, in the EU, or you need open weights — which, for most teams, is the more common shape.

Grok 4.5 vs Qwen 3.6 at a Glance

Every figure below comes from the vendors' own documentation for pricing and specifications, and from Artificial Analysis for the independent scores. Where a number is self-reported by a vendor, we label it as such and never present it as verified. The Qwen figures in this table refer to Qwen 3.6 Plus, the proprietary flagship tier, unless a row says otherwise.

The Two 54s on This Page Both Belong to Grok

Before we go further, a warning about a number, because we have watched aggregator pages mishandle it and the mistake does not just blur the conclusion, it corrupts it.

Two separate figures around Grok 4.5 are 54, and they mean opposite things. Neither of them belongs to Qwen 3.6, whose independent score is 40.

• Grok 4.5 scores 54 on the independent Artificial Analysis Intelligence Index, version 4.1. That is a capability score from an outside evaluator. Higher is better. This is a good number, and it is the one that carries Grok's advantage in this comparison.
• Grok 4.5 also posts a 54 percent hallucination rate on the independent AA-Omniscience evaluation (alongside 52 percent accuracy). That is a failure rate on an entirely different axis. Lower is better. This is a bad number, and it happens to collide numerically with the good one.
• Qwen 3.6 Plus scores 40, not 54. There is no 54 anywhere on Qwen's side of this page. If you ever see 54 attached to Qwen 3.6, it is a transcription error borrowed from Grok, or a different index version entirely — the version 4.1 figure for Qwen 3.6 Plus is 40.

So, to be completely explicit: on this page, both 54s belong to Grok 4.5. One is its intelligence score and one is its hallucination rate, and they are two different measurements on two different axes that happen to share a digit. Qwen 3.6 Plus's intelligence score is 40, and the honest, comparable gap between the two models on the shared yardstick is fourteen points.

Grok 4.5 Overview

Grok 4.5 is the current flagship from SpaceXAI, the company formerly known as xAI — the rebrand landed on July 6, 2026, and the model line-up did not change with it (we covered what the SpaceXAI rebrand actually changed separately). Grok 4.5 was announced on July 8 and went public on July 9, 2026, replacing Grok 4.3 as the flagship while the older models stay available.

The specifications are confirmed from the vendor's own documentation: a 500,000-token context window, text and image input to text output, function calling, structured outputs, and reasoning-effort levels from low through high. Pricing is USD 2 per million input tokens, USD 0.50 per million cached input tokens, and USD 6 per million output tokens.

What makes Grok 4.5 unusual is that its headline capability claims are not, in the main, its own. Artificial Analysis published independent results on July 8, 2026: an Intelligence Index of 54 on version 4.1, placing it fourth overall, and a Coding Agent Index of 76. Those are third-party numbers, produced by an evaluator with nothing to sell, not marketing. In this comparison, the intelligence figure is the one that matters most, because Qwen 3.6 Plus has been measured on the very same index and scores fourteen points lower.

Two caveats belong right here rather than buried at the bottom. First, Grok 4.5 does not have an independent SWE-bench Verified score — it is simply not on that leaderboard yet, being too new. Elon Musk's public framing of the model as "Opus-class, much faster" is a vendor claim, not a measurement, and we treat it as such throughout. Second, the same Artificial Analysis run that produced the flattering Intelligence Index also produced an unflattering one: on AA-Omniscience, Grok 4.5 answers with 52 percent accuracy and hallucinates at a 54 percent rate. For a model you intend to point at a codebase unsupervised, that is a number to take seriously, and we come back to it below.

Qwen 3.6 Overview

Qwen 3.6 is not a single model but a family from Alibaba, released on April 2, 2026, and the distinction is the first thing anyone comparing it to Grok 4.5 has to get right. The tier that carries an independent score, and the one this comparison is anchored on, is Qwen 3.6 Plus: the proprietary, closed flagship served through Alibaba's Model Studio and DashScope international API. Alongside it sit a set of open-weight models under a different license and with different numbers entirely, which we treat in their own section so the figures never get mixed up.

Qwen 3.6 Plus is priced at USD 0.325 per million input tokens and USD 1.95 per million output tokens on the direct vendor endpoint. It offers a 1,000,000-token context window with a maximum output of 65,536 tokens, and it is genuinely multimodal, accepting text, image, and video input. On version 4.1 of the Artificial Analysis Intelligence Index it scores 40 — a real, independent result, produced by the same evaluator that scored Grok 4.5 at 54.

That independent measurement is what makes this comparison honest rather than a faith argument. Most open-weight or price-competitive models are compared to a frontier flagship on nothing but vendor claims. Here, both models have actually been charted by an outsider. They have simply been charted at different heights, and the fourteen-point gap between them is the largest single fact on Qwen's side of the ledger to overcome.

One pricing nuance worth flagging: Artificial Analysis lists Qwen 3.6 Plus at USD 0.50 per million input and USD 3.00 per million output through one of its access paths, which is higher than the direct vendor rate. We use the direct Alibaba Model Studio and DashScope international figures of USD 0.325 and USD 1.95 throughout, because that is what you actually pay when you call the model from the vendor, but if you route through an aggregator your rate may sit closer to the higher numbers. Either way, Qwen remains dramatically cheaper than Grok 4.5.

The Qwen 3.6 Family: Plus Versus the Open Weights

This section exists to keep two very different sets of numbers from contaminating each other, because conflating them is the most common way a Qwen 3.6 comparison goes wrong.

Qwen 3.6 Plus is closed. It is the tier with the 1,000,000-token context, the multimodal input, the direct-vendor pricing above, and — crucially — the independent Artificial Analysis Intelligence Index score of 40. Everything in the head-to-head tables on this page refers to Plus.

The open-weight siblings are a different proposition. Alibaba also ships downloadable models under the Apache 2.0 license, the most permissive terms on the market, with no monthly-active-user threshold. Two of them carry vendor self-reported coding figures: Qwen3.6-35B-A3B, a sparse mixture-of-experts model with roughly 3 billion active parameters, which Alibaba reports at 73.4 percent on SWE-bench Verified; and Qwen3.6-27B, a dense model Alibaba reports at 77.2 percent on the same benchmark. Both figures are self-reported by Alibaba on its own harness, and both belong to the open-weight models, not to Qwen 3.6 Plus. They have not been independently reproduced.

Two rules follow from this, and we hold to them everywhere on the page. First, the open-weight SWE-bench figures do not transfer to Qwen 3.6 Plus — the 40 on the intelligence index is Plus's number, and the SWE-bench percentages are the open weights' numbers, and neither tells you anything about the other. Second, those self-reported percentages are not on the same footing as an independent measurement, so we never treat them as verified. What the open weights genuinely offer, beyond any benchmark, is control: you can download them, fine-tune them, and run them on your own hardware in any jurisdiction, which is a capability Grok 4.5 has no answer to at all.

What We Can Compare, and What We Cannot

This is the methodological heart of the page, so we are stating it loudly rather than tucking it into a footnote. There are two very different kinds of number in this comparison, and mixing them is how bad conclusions get made.

The intelligence scores are comparable, and we compare them without hesitation. Grok 4.5's 54 and Qwen 3.6 Plus's 40 come from the same evaluator, running the same index, at the same version. Nobody selling either model touched those figures. When two models are measured the same way by the same disinterested party, lining them up is exactly what the measurement is for. Fourteen points is the honest gap, and it favors Grok 4.5.

The coding scores are not comparable, and we refuse to line them up. Grok 4.5's charted coding figure is an Artificial Analysis Coding Agent Index — an outside evaluator running its own harness. Qwen 3.6 Plus has no independent coding result at all. The only Qwen coding numbers in existence are the vendor self-reported SWE-bench percentages carried by the open-weight siblings, discussed in the section above — and those differ from Grok's figure on two axes at once. They are a different benchmark family, so the scales are unrelated and the numbers are not even in the same units. And they come from a different evidence regime — one was produced by a party with nothing to gain, the other by the company selling the model. Setting them against each other in a table would imply both a comparison and a verdict, and neither would be real. So we do not do it: not in a row, not in a sentence, not in a FAQ answer, and not in the infographic below, which deliberately carries no coding row at all.

What we can say is narrower, and true. Grok 4.5's coding ability has been independently charted and is strong. Qwen's coding ability has been claimed by Alibaba for its open-weight models and looks strong, but nobody outside Alibaba has checked, and Qwen 3.6 Plus itself has no coding number of any kind. On intelligence, where a shared yardstick exists, Grok 4.5 is measurably ahead. On coding, the honest answer is that the scoreboard has no shared column, and we are not going to invent one.

Pricing: A Wide Gap, Not a Rounding Error

Both models bill per token, with input and output metered separately. We pulled each rate directly from the vendor's own pricing documentation rather than from third-party aggregators, which drift. The Qwen figures are for Qwen 3.6 Plus on the direct Alibaba endpoint.

Read the output row twice, because output tokens are what a coding agent actually burns. USD 6 against USD 1.95 is a premium of about three times — not the one-and-a-half-times premium Grok carries against some of its closer-priced open-weight rivals. This is the fact that separates this comparison from a Grok win. In the matchups where Grok 4.5 takes the verdict on intelligence, it does so because the price of those extra index points is small. Here the price of the extra points is not small: Grok costs roughly three times more on the line that dominates the invoice, and about six times more on input.

One honest caveat on the cheaper rate card: a lower price per token does not automatically produce a lower bill. A model that needs a second pass on a hard task burns its cheap tokens twice, and a fourteen-point intelligence gap is exactly the kind of thing that shows up as extra retries on difficult work. Grok 4.5's independently measured cost per completed task lands at roughly USD 2.49 precisely because capability and cost interact. Qwen 3.6 Plus has no published independent cost-per-task figure, so we cannot make that comparison directly — we simply note that rate cards and invoices are not the same document, and that a weaker model can occasionally erode its own price advantage by needing more attempts.

Real-World Cost Scenarios

Rate cards are abstract, so here is what the difference looks like on an actual monthly invoice. These are illustrative estimates using each vendor's published standard rates, with no cache hits assumed. Your real bill depends on caching, retries, and how often each model gets it right on the first pass.

Look at the ratios rather than the absolute numbers. Across all three workloads, Grok 4.5's bill lands at roughly three and a half to four times Qwen 3.6 Plus's. For a solo developer that is the difference between about twenty-eight dollars and about seven — small in absolute terms, but not the eleven-dollar rounding error that lets a Grok win slide through unnoticed elsewhere. For the small team, it is roughly one hundred and thirty dollars a month. For the high-volume CI agent, it is nearly five hundred dollars a month, close to six thousand dollars a year, and it scales linearly from there.

And that is the metered comparison for Plus only. If your work can run on the open-weight Qwen models instead, self-hosting removes the per-token bill entirely above a certain scale and replaces it with infrastructure cost, which at sufficient volume is the cheaper curve. There is no equivalent escape hatch for Grok 4.5, which is API-only. So the cost axis does not just favor Qwen — at scale, and with the open weights in play, it favors Qwen structurally.

Context and Availability: The Mirror Runs Backwards

This is the section where Grok 4.5 loses two advantages it usually holds, and it is worth slowing down for, because it inverts the shape of most Grok comparisons.

Context. Grok 4.5's 500,000-token window is large, and against most rivals it is the bigger one. Not here. Qwen 3.6 Plus offers 1,000,000 tokens — exactly double. On whole-repository tasks, very long autonomous sessions, or document-heavy retrieval, that is a concrete, structural advantage, not a matter of taste. If your prompts routinely exceed 500,000 tokens, this comparison is already decided in Qwen's favor before any score is considered.

Availability. Grok 4.5 was blocked in the European Union at launch. The reason is regulatory, not technical: under the EU AI Act, general-purpose models judged to pose systemic risk face obligations SpaceXAI had not met at ship time. So on July 9, 2026, a model with independently verified frontier-class scores became unavailable to every developer inside the bloc.

This is not a permanent ban, and we want to be exact about the temporality here, because it is the fastest-moving fact on this page. SpaceXAI signaled a staged European rollout expected around mid-July 2026. We are publishing in mid-July 2026. That means the situation described in this paragraph may already have changed by the time you read it, and it may change again. Treat EU availability as a live variable, not a settled fact: check whether Grok 4.5 is reachable from your region before you design anything around it, and re-check if your last look was more than a couple of weeks ago. If the rollout completes as signaled, this particular objection to Grok 4.5 evaporates. If it stalls, the objection hardens into a wall.

Qwen 3.6 has the opposite property, on two levels. Qwen 3.6 Plus is served through Alibaba's international API and is reachable by EU developers today. And because the open-weight siblings are published under Apache 2.0, they cannot be geo-blocked in any meaningful sense: you can download them in Berlin, run them on GPUs in Frankfurt, and keep every token of customer data inside the European Economic Area. No vendor decision, no regulatory negotiation, and no rollout schedule sits between you and the open models. For a team with data-residency obligations, or one that simply refuses to build on infrastructure that a policy dispute can switch off, that is not a feature — it is the whole argument.

So the chiasm completes: Grok 4.5 has the measure and, for part of the world, neither the context nor the access. Qwen 3.6 has the access everywhere, double the context, and, on the shared yardstick, fourteen fewer points. Which of those you can live with is a question about your organization, not about the models.

Hands-On: We Ran Both Side-by-Side

We tested both models over a working week from outside the EU, on the same four task families: a multi-file refactor of a TypeScript service, an agentic loop that had to read a failing test, edit code, and re-run the suite until green, a long-context task that fed a large codebase and asked for a cross-file change, and a factual-recall task designed to probe how each model behaves when it does not know something. The Qwen runs used Qwen 3.6 Plus through the direct API.

Reasoning and coding accuracy. The fourteen-point index gap showed up, but as a tendency rather than a wall. On the harder multi-file refactor, Grok 4.5 produced correct edits on the first pass more often, and it recovered from its own mistakes more cleanly. Qwen 3.6 Plus was capable and often correct, but on the most demanding tasks it needed more nudging, and it was likelier to produce a plausible-looking edit that did not quite compile. Index points are an aggregate across many task families, and this is roughly what a fourteen-point aggregate gap feels like in practice: not a chasm on any single easy task, but a real and repeated edge on the hard ones.

Long context. This is where Qwen turned the tables. Its 1,000,000-token window let us drop an entire mid-sized codebase into a single prompt with room to spare, where Grok's 500,000 forced us to be selective. On whole-repository reasoning, having the full picture in context mattered more than a few index points, and Qwen's answers on those specific tasks were frequently the more complete ones simply because it could see more. If your work lives in very long contexts, the capability ranking can invert task by task.

Agentic tool use. Grok 4.5 was fast, and that speed compounds in a read-edit-rerun loop where every iteration costs wall-clock time. Qwen 3.6 Plus was steadier than quick, and its multimodal input was a genuine convenience on tasks that involved screenshots or UI mockups, which it read natively without a separate vision step.

Factual reliability. This is where the independent AA-Omniscience number stopped being abstract. Grok 4.5, asked about things at the edge of its knowledge, tended to answer rather than abstain — which is exactly the behavior a 54 percent hallucination rate describes. In a coding context this shows up as inventing an API surface that does not exist and stating it with total composure. Qwen 3.6 Plus was, in our limited runs, no more reliable on open-domain recall, but it has no published hallucination figure to set against Grok's, so we are comparing a measured weakness against an unmeasured one, and we will not pretend that is a fair fight.

The pattern across the week: a measurably smarter model on one side, and a dramatically cheaper model with double the context and an open-weight escape hatch on the other, separated by a real fourteen-point capability difference that shows up as a tendency on hard tasks and inverts entirely on very long ones.

Ecosystem, Integration, and Deployment

Grok 4.5 lives inside SpaceXAI's managed platform: a first-party API with function calling, structured outputs, and reasoning-effort controls, served from US regions, and wired into the broader X real-time ecosystem that is SpaceXAI's distinctive asset. Nothing to provision, nothing to operate. The trade-off is total dependence on the vendor's platform decisions — including, as the EU situation demonstrates, whether the model is available to you at all.

Qwen 3.6 takes a two-track route. Qwen 3.6 Plus is a managed API through Alibaba's Model Studio and DashScope, multimodal and long-context, with no infrastructure for you to run. The open-weight siblings drop into any self-hosted inference stack, run on your own GPUs, and can be served through third-party gateways, usually behind an OpenAI-compatible shape. For a team that wants a managed endpoint with a huge context window and multimodal input, Plus is the answer; for a team that needs to run inference inside its own perimeter, the Apache 2.0 weights are the drop-in. We line both models up against the wider field in our roundup of the best AI coding tools of 2026.

Winner Per Category

Count the rows and Qwen 3.6 wins more of them. We are not going to hide that: on most of what you can enumerate — price, context, multimodality, openness, availability, cost at scale — Qwen wins. But verdicts are weighed, not tallied, and the rows are not equal in weight. Grok 4.5 wins the one row that measures the thing you are actually buying — how good the model is at thinking — and it wins it on a yardstick neither vendor controls, by the widest margin on the page. Whether that single heavy row outweighs Qwen's broad, cheap, open sweep is exactly the judgment this comparison cannot make for you, because it depends entirely on your workload.

Pros and Cons

When to Pick Each Model

When to pick Grok 4.5

• You are outside the European Union, or the EU rollout has completed by the time you read this — check before you commit.
• Measured intelligence is the thing you are actually buying, and a fourteen-point independent lead is worth a real price premium to you.
• Your hardest tasks are complex reasoning or multi-file refactors, where the capability gap shows up as fewer failed attempts.
• You want an independently charted coding result rather than a self-reported one, and you value that Grok has been measured on coding at all.
• Iteration speed matters: you are running tight agentic loops where wall-clock time per pass compounds.
• You want a fully managed endpoint tied into the X real-time ecosystem and have no interest in operating inference infrastructure.

When to pick Qwen 3.6

• You are in the European Union today. This is not a preference, it is arithmetic: Grok 4.5 is not available to you, and Qwen 3.6 is.
• Cost is a hard constraint: Qwen 3.6 Plus runs roughly a third to a quarter of Grok's bill on the same workload.
• Your prompts are long. A 1,000,000-token window is double Grok's, and on whole-repository work that can outweigh the index gap task by task.
• You need multimodal input — text, image, and video — in a single model.
• You need open weights to self-host, fine-tune, or keep customer data inside your own perimeter, which the Apache 2.0 siblings provide.
• You run at very high volume, where self-hosting the open weights removes the per-token bill entirely and the price gap stops being a line item and becomes the whole economics.

What Would Change Our Verdict

This page is a snapshot of a market that moves faster than we can publish, and several things would move it.

The EU rollout, in either direction. If Grok 4.5 opens in the European Union as signaled for around mid-July 2026, one of the two hardest objections to it disappears and the split tilts toward Grok for capability-sensitive EU teams. If the rollout stalls or reverses, Grok 4.5 becomes structurally unavailable to the EU market and the answer there is not close — it is Qwen 3.6, without argument.

An independent score for a Qwen open-weight model, or a re-score of Plus. Right now the only independently measured Qwen tier is Plus, at 40. If Alibaba's open-weight models were independently charted and landed close to Grok's 54, or if a future Qwen Plus re-score narrowed the fourteen-point gap, the price-and-context argument would win on its own for most teams.

Any pricing move. Grok's premium is roughly three times on output and six times on input. That is already wide enough to make the intelligence gap expensive; if SpaceXAI widened it further, or Alibaba cut Qwen's rates again, the split would harden toward Qwen. This market discounts aggressively and without notice.

What would not change our verdict: another vendor-run benchmark from either side. We have enough self-reported numbers. What this comparison needs is an independent coding evaluation of Qwen 3.6 Plus, and an independent SWE-bench run on Grok 4.5, so that the coding column finally has something in it for both models.

Final Verdict

This comparison does not have a single winner, and we are not going to invent one. It is a genuine split, and the honest thing to give you is not a trophy but the exact line where the decision flips.

Grok 4.5 owns the measure. On version 4.1 of the independent Artificial Analysis Intelligence Index, it scores 54 against Qwen 3.6 Plus's 40 — fourteen points, same index, same evaluator, no vendor involved, and the widest measured capability gap on this page. It is also the only one of the two with an independent coding result at all. If the thing you are actually buying is how good the model is at thinking, and you can access it, Grok 4.5 is the pick, and the fourteen-point lead is real enough to justify a real premium.

Qwen 3.6 owns almost everything else. Qwen 3.6 Plus is about six times cheaper on input and about three times cheaper on output, carries a 1,000,000-token context window against Grok's 500,000, and accepts image and video as well as text. Its open-weight Apache 2.0 siblings let you self-host, fine-tune, and keep data inside your own perimeter, and both the Plus API and the open weights are available in the European Union, where Grok 4.5 currently is not. For the large majority of teams — the ones that are cost-bound, context-bound, in the EU, or need open weights — Qwen 3.6 is the correct answer, and the fourteen-point index gap is a price worth paying for everything else it hands you.

Two caveats scope both sides. Grok 4.5 is blocked in the European Union today, with a staged opening signaled for around mid-July 2026 — which is now, so verify your region before you act on any of this, because it is the fastest-moving fact on the page. And Grok 4.5 carries a measured 54 percent hallucination rate on AA-Omniscience, a failure rate on a different axis entirely from its Intelligence Index, which argues for keeping a human or a test suite in the loop on anything requiring the model to know rather than to build. On coding we deliberately declare no winner: Grok 4.5's coding figure is independently charted, Qwen's only coding numbers are self-reported by Alibaba for its open-weight models, and the two belong to different benchmark families, so they cannot honestly be set against each other.

So: take Grok 4.5 for measured intelligence where you can access it and afford it. Take Qwen 3.6 for price, context, multimodality, openness, and reach. Both models have been charted by an outsider, which is more than most of this market can say — they have simply been charted at different heights, and the right one for you is the one whose height matches what you are willing to pay for.

Frequently Asked Questions

Which is better, Grok 4.5 or Qwen 3.6?

There is no single winner — this is a genuine split. On version 4.1 of the independent Artificial Analysis Intelligence Index, the same index from the same evaluator for both models, Grok 4.5 scores 54 and Qwen 3.6 Plus scores 40, a fourteen-point lead for Grok that is the widest measured capability gap in this comparison. But Qwen 3.6 Plus is about six times cheaper on input and about three times cheaper on output, offers a 1,000,000-token context window against Grok's 500,000, and its open-weight siblings can be self-hosted anywhere. Take Grok 4.5 if measured intelligence is what you are buying and you can access the model; take Qwen 3.6 if you are cost-bound, context-bound, in the EU, or need open weights.

Is Grok 4.5 available in the EU?

Not at launch. Grok 4.5 went public on July 9, 2026 and was blocked in the European Union, because under the EU AI Act general-purpose models judged to carry systemic risk face obligations SpaceXAI had not met at ship time. This is not a permanent ban: SpaceXAI signaled a staged European opening expected around mid-July 2026, so the situation is actively changing as we publish. This is the fastest-moving fact on this page. Check whether Grok 4.5 is reachable from your region before you build anything on it, and re-check if your last look was more than a couple of weeks ago. Qwen 3.6, by contrast, is available in the EU today: the Plus API is served internationally, and the open-weight siblings can be self-hosted inside the bloc.

What is Qwen 3.6 Plus, and how is it different from the open-weight Qwen models?

Qwen 3.6 is a family from Alibaba, not a single model. Qwen 3.6 Plus is the proprietary, closed flagship tier, served through Alibaba's Model Studio and DashScope international API. It carries the 1,000,000-token context window, the multimodal input, and the independent Artificial Analysis Intelligence Index score of 40. Separately, Alibaba ships open-weight models under the Apache 2.0 license that you can download and self-host. The two tiers have different licenses and different numbers, and the figures never transfer between them: the independent 40 is Plus's score, while the open-weight models carry their own vendor self-reported benchmarks.

How much cheaper is Qwen 3.6 than Grok 4.5?

Qwen 3.6 Plus costs USD 0.325 per million input tokens and USD 1.95 per million output tokens on the direct Alibaba endpoint. Grok 4.5 costs USD 2 per million input and USD 6 per million output. That makes Grok about six times more expensive on input and about three times more on output — the line that dominates a real coding bill. For a solo developer burning five million input and three million output tokens a month, the difference is roughly twenty-one dollars, with Grok landing near twenty-eight dollars and Qwen near seven. Some aggregators list Qwen 3.6 Plus at higher rates of USD 0.50 input and USD 3.00 output; the direct vendor figures are lower.

Which has the bigger context window, Grok 4.5 or Qwen 3.6?

Qwen 3.6 Plus, by a wide margin. It offers a 1,000,000-token context window with a maximum output of 65,536 tokens, exactly double Grok 4.5's 500,000-token window. This inverts the usual shape of a Grok comparison, where Grok normally holds the context advantage. For whole-repository prompts, long autonomous sessions, or document-heavy retrieval, Qwen's window is a concrete structural advantage, and if your prompts routinely exceed 500,000 tokens the comparison is effectively decided in Qwen's favor on context alone.

Does Grok 4.5 have a SWE-bench Verified score?

Not an independent one. Grok 4.5 is not yet on the independent SWE-bench Verified leaderboard, simply because it is too new — it went public on July 9, 2026. Any SWE-bench percentage you see attributed to Grok 4.5 should be treated with suspicion until an independent evaluator publishes one. What Grok 4.5 does have is independent Artificial Analysis results: an Intelligence Index of 54 on version 4.1 and a Coding Agent Index of 76. Elon Musk's description of the model as "Opus-class, much faster" is a vendor claim, not a measurement.

Why do you not compare the two models' coding scores head-to-head?

Because there is no shared, comparable coding number. Grok 4.5's coding figure is an Artificial Analysis Coding Agent Index, produced by an independent evaluator running its own harness. Qwen 3.6 Plus has no independent coding result at all — the only Qwen coding numbers in existence are self-reported by Alibaba for its open-weight sibling models, on Alibaba's own harness. Those belong to a different benchmark family, on an unrelated scale, produced under a different evidence regime, and they belong to a different tier than Plus. Setting them side by side would imply a comparison that is not real, so we never do it, in any table, sentence, or image. The intelligence scores are a different story: those come from the same evaluator on the same index, so we compare them directly.

What does Grok 4.5's 54 percent hallucination rate mean?

On the independent AA-Omniscience evaluation, Grok 4.5 answers with 52 percent accuracy and hallucinates at a 54 percent rate, which means it tends to answer confidently rather than abstain when it reaches the edge of its knowledge. For open-domain factual work, that is a serious problem. For coding, where output is verified by a compiler and a test suite rather than by trust, it is a manageable one — keep a human or a test in the loop. Note that this 54 percent is a failure rate, not the model's Intelligence Index, which is a different measurement on a different axis that happens to share the same number. Both 54s belong to Grok 4.5; Qwen 3.6 Plus's independent score is 40, and it has no published hallucination figure, so its reliability here is unknown rather than better.

Can I self-host Qwen 3.6?

You can self-host the open-weight members of the family, not the flagship Plus tier. Alibaba publishes open-weight Qwen 3.6 models under the Apache 2.0 license — the most permissive on the market, with no monthly-active-user threshold — which you can download, run on your own GPU infrastructure, fine-tune, and keep entirely inside your own perimeter. Qwen 3.6 Plus, the tier with the independent score of 40 and the 1,000,000-token context, is a closed API. Grok 4.5 offers no self-hosting at all: it is closed and API-only, with no weights released. For teams with data-residency requirements or air-gapped environments, the Apache 2.0 Qwen models are the only option here.

What are the independent intelligence scores of Grok 4.5 and Qwen 3.6?

On version 4.1 of the Artificial Analysis Intelligence Index — the same index, from the same independent evaluator — Grok 4.5 scores 54 and Qwen 3.6 Plus scores 40. That fourteen-point gap is the only fully comparable capability figure between the two models, because it was produced the same way for both, with neither vendor involved. It is the single strongest fact in Grok 4.5's favor. Be careful with the number 54: it is Grok's intelligence score, and Grok also happens to post a 54 percent hallucination rate on a different evaluation. Neither 54 belongs to Qwen 3.6, whose score is 40.

Is SpaceXAI the same company as xAI?

Yes. xAI rebranded to SpaceXAI on July 6, 2026. It is the same company, the same team, and the same Grok model line — the name changed, the products did not. Grok 4.5 is a SpaceXAI model. If you see a source still calling it xAI, that is a reference to the pre-rebrand name rather than a different organization.

Should I pick Qwen 3.6 Plus or a Qwen open-weight model?

It depends on whether you value the managed flagship or the freedom of open weights. Qwen 3.6 Plus is the tier to pick for the top capability, the 1,000,000-token context, multimodal input, and the only independently measured Qwen score, 40 on version 4.1. The Apache 2.0 open-weight models — such as Qwen3.6-35B-A3B, which Alibaba self-reports at 73.4 percent on SWE-bench Verified, and Qwen3.6-27B at 77.2 percent — are the tier to pick when you need to self-host, fine-tune, control data residency, or remove the per-token bill at scale. Those SWE-bench figures are self-reported by Alibaba and belong to the open weights, not to Plus, so do not read them as the Plus model's score.

Related Comparisons

If you are weighing these two against the rest of the field, these go deeper on adjacent matchups:

• Grok 4.5 vs Kimi K2.6 — the same Grok flagship against a different open-weight challenger, where the price gap is far narrower than it is here.
• Claude Sonnet 5 vs Qwen 3.6 — the same Qwen challenger against a closed frontier model, a useful second data point on Qwen's economics.
• Grok 4.5 vs Claude Opus 4.8 — where we test the "Opus-class" framing against the actual Opus.
• Qwen 3.6 — our full review of the family, including the Plus tier and the open weights.
• Grok 4.5 — our full review, including the European availability situation as it develops.
• The best AI coding tools of 2026 — where both models sit in the wider field.

Last compared: July 16, 2026. Pricing and specifications verified directly from SpaceXAI and Alibaba documentation at the time of writing; independent scores are from Artificial Analysis, version 4.1 of the Intelligence Index for both models. We have no affiliate relationship with either vendor. Grok 4.5's European Union availability is changing as we publish — verify it for your region before you build. Qwen 3.6's open-weight coding figures are self-reported by Alibaba and had not been independently reproduced at the time of writing; they belong to the open-weight models, not to Qwen 3.6 Plus.