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AI Rankings

Qwen3.6 27B: Score, Price and Context Window

Where Qwen3.6 27B from Alibaba ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated

  • Alibaba
  • Open weights
  • Released Apr 2026

Its score range overlaps with Grok 4, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

  • Running it yourself: its weights can be downloaded (read the licence terms first).

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score
146.2
Rank 79 of 270. Likely range 144.1 to 147.7.
Price per million tokens
$0.37 in / $3.20 out
Blended $1.08. Cached input $0.06. Median across hosting providers, checked 26 Oct 2026.
Context window
262K tokens
About 197,000 words at once. One answer up to 262K tokens.
Weights
Open
The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Image input, Tool use, Reasoning, Structured output.

We do not have an Arena human-vote rating for Qwen3.6 27B yet. It is shown as "Not measured" rather than guessed.

How Qwen3.6 27B 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.
Qwen3.6 27B compared with all models we trackOverall capability: 146.2. Better than 71% of the other 269 models. Price: $1.08 per 1M. Cheaper than 51% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.
  • Overall capability146.2

    Better than 71% of the other 269 modelsUpper half

    Epoch Capabilities Index: one score that combines many tests.

  • Price$1.08 per 1M

    Cheaper than 51% of the other 200 priced modelsUpper half

    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.

Test results

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

    85.9%

    Place 66 of 183

    tied with 1 other

  • FrontierMath (Tiers 1-3)

    Original, very hard maths problems written by mathematicians. Each has an exact answer and the problems are kept private so models cannot have memorised them. This is the Tiers 1 to 3 set, version 2.

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.
100 chats
$0.20
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
$0.04
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
$1.08 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.

Questions about Qwen3.6 27B

How much does Qwen3.6 27B cost?
Qwen3.6 27B costs $0.37 per million input tokens and $3.20 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.20 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 Qwen3.6 27B?
Qwen3.6 27B has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 262K tokens long.
Is Qwen3.6 27B open source?
Qwen3.6 27B has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.
How good is Qwen3.6 27B compared with other AI models?
On the Epoch Capabilities Index, Qwen3.6 27B scores 146.2 (likely range 144.1 to 147.7), which ranks 79 of 270 models we track. Scores close together are a tie in practice.
How does Qwen3.6 27B compare with Grok 4?
Qwen3.6 27B scores higher on 1 of 3 shared quality measures, Grok 4 on 0. 2 measures are too close to call. Qwen3.6 27B costs about 82% less than Grok 4 on a blended price of $1.08 against $6.00 per million tokens. See the full comparison for every measure.
How current are these numbers for Qwen3.6 27B?
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.
  • 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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