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AI Rankings

Qwen 3.6 Max (Preview): Score, Price and Context Window

Where Qwen 3.6 Max (Preview) from Alibaba ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated

  • Alibaba
  • Closed weights
  • Released Apr 2026

Its score range overlaps with GPT-5.1, the model just above it, so a small gap in rank is not a meaningful difference.

Key facts

Overall score
149.4
Rank 64 of 270. Likely range 147.6 to 153.2.
Human preference: chat
1461
Rank 52 of 166. 5,423 votes.
Human preference: coding
1512
Rank 46 of 166. 1,617 votes.
Human preference: web pages
1482
Rank 50 of 85. 2,716 votes.
Price per million tokens
$1.27 in / $7.61 out
Blended $2.85. Cached input $0.13. List price from Aihubmix, checked 26 Oct 2026.
Context window
262K tokens
About 197,000 words at once. One answer up to 66K tokens.
Weights
Closed
Used through the maker's apps or API (Epoch AI: Unknown).

Features listed by the price list: Tool use, Reasoning, Web search, Prompt caching, Structured output.

Try itQwen Studio in our AI tools directoryQwen assistant for chat, document processing, multimodal questions, web search, and creative tasks.

How Qwen 3.6 Max (Preview) stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.
Qwen 3.6 Max (Preview) compared with all models we trackOverall capability: 149.4. Better than 76% of the other 269 models. Human preference: chat: 1461. Better than 69% of the other 165 models. Human preference: coding: 1512. Better than 72% of the other 165 models. Human preference: web pages: 1482. Better than 41% of the other 84 models. Price: $2.85 per 1M. Cheaper than 33% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.
  • Overall capability149.4

    Better than 76% of the other 269 modelsTop 25%

    Epoch Capabilities Index: one score that combines many tests.

  • Human preference: chat1461

    Better than 69% of the other 165 modelsUpper half

    How often people pick its answers over another model's on Arena.

  • Human preference: coding1512

    Better than 72% of the other 165 modelsUpper half

    How often people pick its answers to coding questions on Arena.

  • Human preference: web pages1482

    Better than 41% of the other 84 models

    How often people pick the web pages and small apps it builds on Arena.

  • Price$2.85 per 1M

    Cheaper than 33% of the other 200 priced models

    Blended price per million tokens. Lower is better, so the cheapest models sit on the right.

  • Context window262K tokens

    Larger context window than 50% of the other 198 modelsUpper half

    How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where Qwen 3.6 Max (Preview) ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.

  • SimpleBench

    Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.

    63.0%

    Place 16 of 80

  • SWE-bench Verified

    Real bug reports from open-source software projects. The AI has to change the code so the project's own tests pass. The tasks were checked by people.

    76.7%

    Place 9 of 32

    tied with 2 others

  • SimpleQA Verified

    Short factual questions that each have one correct answer. It measures how often a model gets facts right.

    52.0%

    Place 24 of 82

  • OTIS Mock AIME

    Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.

    91.1%

    Place 55 of 174

    tied with 2 others

  • GPQA Diamond

    Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.

    87.4%

    Place 59 of 183

    tied with 1 other

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.
100 chats
$0.51
Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book
$0.13
Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price
$2.85 per 1M
Three parts input to one part output. Our own calculation for comparing models.

Assumptions: 100 chats of about 1,000 tokens in and 500 tokens back. a 300-page book of about 100,000 tokens, read once with no reply.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about Qwen 3.6 Max (Preview)

How much does Qwen 3.6 Max (Preview) cost?
Qwen 3.6 Max (Preview) costs $1.27 per million input tokens and $7.61 per million output tokens, using the list price from Aihubmix as of 26 Oct 2026. That is about $0.51 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of Qwen 3.6 Max (Preview)?
Qwen 3.6 Max (Preview) has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 66K tokens long.
Is Qwen 3.6 Max (Preview) open source?
We list Qwen 3.6 Max (Preview) as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "Unknown").
How good is Qwen 3.6 Max (Preview) compared with other AI models?
On the Epoch Capabilities Index, Qwen 3.6 Max (Preview) scores 149.4 (likely range 147.6 to 153.2), which ranks 64 of 270 models we track. On Arena's human-vote text board it is ranked 52 of 166. Scores close together are a tie in practice.
How does Qwen 3.6 Max (Preview) compare with DeepSeek-V4-Pro?
DeepSeek-V4-Pro scores higher on 2 of 8 shared quality measures, Qwen 3.6 Max (Preview) on 1. 5 measures are too close to call. DeepSeek-V4-Pro costs about 31% less than Qwen 3.6 Max (Preview) on a blended price of $1.98 against $2.85 per million tokens. See the full comparison for every measure.
How current are these numbers for Qwen 3.6 Max (Preview)?
The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

  • Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
  • Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
  • LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake

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