Skip to main content

AI Rankings

Qwen 3.6 Plus: Score, Price and Context Window

Where Qwen 3.6 Plus 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 Mar 2026

Its score range overlaps with o3-pro, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

  • Very long documents: its context window is 1M tokens, roughly 750,000 words.

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

Key facts

Overall score
147.3
Rank 71 of 270. Likely range 145.1 to 149.3.
Human preference: chat
1443
Rank 67 of 166. 48,142 votes.
Human preference: coding
1496
Rank 67 of 166. 14,679 votes.
Human preference: web pages
1462
Rank 55 of 85. 18,585 votes.
Price per million tokens
$0.50 in / $3.00 out
Blended $1.13. List price from Together_ai, checked 26 Oct 2026.
Context window
1M tokens
About 750,000 words at once.
Weights
Closed
Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Reasoning.

How Qwen 3.6 Plus 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 Plus compared with all models we trackOverall capability: 147.3. Better than 73% of the other 269 models. Human preference: chat: 1443. Better than 60% of the other 165 models. Human preference: coding: 1496. Better than 60% of the other 165 models. Human preference: web pages: 1462. Better than 35% of the other 84 models. Price: $1.13 per 1M. Cheaper than 49% of the other 200 priced models. Context window: 1M tokens. Larger context window than 72% of the other 198 models.
  • Overall capability147.3

    Better than 73% of the other 269 modelsUpper half

    Epoch Capabilities Index: one score that combines many tests.

  • Human preference: chat1443

    Better than 60% of the other 165 modelsUpper half

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

  • Human preference: coding1496

    Better than 60% of the other 165 modelsUpper half

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

  • Human preference: web pages1462

    Better than 35% of the other 84 models

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

  • Price$1.13 per 1M

    Cheaper than 49% of the other 200 priced models

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

  • Context window1M tokens

    Larger context window than 72% 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.

    93.3%

    Place 47 of 174

    tied with 3 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.

  • SimpleQA Verified

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

  • 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.

  • 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.

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
$0.05
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
$1.13 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 Qwen 3.6 Plus

How much does Qwen 3.6 Plus cost?
Qwen 3.6 Plus costs $0.50 per million input tokens and $3.00 per million output tokens, using the list price from Together_ai 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 Qwen 3.6 Plus?
Qwen 3.6 Plus has a context window of 1M tokens, roughly 750,000 words of text read at once.
Is Qwen 3.6 Plus open source?
We list Qwen 3.6 Plus as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").
How good is Qwen 3.6 Plus compared with other AI models?
On the Epoch Capabilities Index, Qwen 3.6 Plus scores 147.3 (likely range 145.1 to 149.3), which ranks 71 of 270 models we track. On Arena's human-vote text board it is ranked 67 of 166. Scores close together are a tie in practice.
How does Qwen 3.6 Plus compare with o3-pro?
On quality, neither model leads clearly across the 1 measure both have. 1 measure is too close to call. Qwen 3.6 Plus costs about 97% less than o3-pro on a blended price of $1.13 against $35.00 per million tokens. See the full comparison for every measure.
How current are these numbers for Qwen 3.6 Plus?
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

We use optional cookies for analytics and referral tracking. Learn more about our privacy policy