How much does Qwen3.7-Max cost?

Qwen3.7-Max costs $2.50 per million input tokens and $7.50 per million output tokens, using the list price from Alibaba as of 26 Oct 2026. That is about $0.63 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 Qwen3.7-Max?

Qwen3.7-Max has a context window of 992K tokens, roughly 744,000 words of text read at once. A single answer can be up to 66K tokens long.

Is Qwen3.7-Max open source?

We list Qwen3.7-Max 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 Qwen3.7-Max compared with other AI models?

On the Epoch Capabilities Index, Qwen3.7-Max scores 154.0 (likely range 152.3 to 156.5), which ranks 45 of 270 models we track. On Arena's human-vote text board it is ranked 35 of 166. Scores close together are a tie in practice.

How does Qwen3.7-Max compare with Muse Spark 1.1?

Muse Spark 1.1 scores higher on 3 of 5 shared quality measures, Qwen3.7-Max on 0. 2 measures are too close to call. Muse Spark 1.1 costs about 47% less than Qwen3.7-Max on a blended price of $2.00 against $3.75 per million tokens. See the full comparison for every measure.

How current are these numbers for Qwen3.7-Max?

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.

AI Rankings

Qwen3.7-Max: Score, Price and Context Window

Where Qwen3.7-Max from Alibaba ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Alibaba
Closed weights
Released May 2026

Its score range overlaps with Muse Spark 1.1, the model just above it, so a small gap in rank is not a meaningful difference.

Key facts

Overall score: 154.0; Rank 45 of 270. Likely range 152.3 to 156.5.
Human preference: chat: 1474; Rank 35 of 166. 3,941 votes.
Human preference: coding: 1524; Rank 24 of 166. 1,165 votes.
Human preference: web pages: 1515; Rank 43 of 85. 8,888 votes.
Price per million tokens: $2.50 in / $7.50 out; Blended $3.75. Cached input $0.50. List price from Alibaba, checked 26 Oct 2026.
Context window: 992K tokens; About 744,000 words at once. One answer up to 66K tokens.
Weights: Closed; Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Tool use, Reasoning, 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 Qwen3.7-Max 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.

Qwen3.7-Max compared with all models we trackOverall capability: 154.0. Better than 83% of the other 269 models. Human preference: chat: 1474. Better than 79% of the other 165 models. Human preference: coding: 1524. Better than 85% of the other 165 models. Human preference: web pages: 1515. Better than 50% of the other 84 models. Price: $3.75 per 1M. Cheaper than 25% of the other 200 priced models. Context window: 992K tokens. Larger context window than 71% of the other 198 models.

Overall capability154.0
Better than 83% of the other 269 modelsTop 25%
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1474
Better than 79% of the other 165 modelsTop 25%
How often people pick its answers over another model's on Arena.
Human preference: coding1524
Better than 85% of the other 165 modelsTop 25%
How often people pick its answers to coding questions on Arena.
Human preference: web pages1515
Better than 50% of the other 84 modelsUpper half
How often people pick the web pages and small apps it builds on Arena.
Price$3.75 per 1M
Cheaper than 25% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window992K tokens
Larger context window than 71% 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 Qwen3.7-Max 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.
70.4%
Place 11 of 80
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.
90.9%
Place 31 of 183
tied with 3 others
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.
95.6%
Place 38 of 174
tied with 3 others
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.
77.3%
Place 7 of 32
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
55.8%
Place 21 of 82
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.
64.6%
Place 36 of 87
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: $0.63; 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: $0.25; 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: $3.75 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about Qwen3.7-Max

How much does Qwen3.7-Max cost?: Qwen3.7-Max costs $2.50 per million input tokens and $7.50 per million output tokens, using the list price from Alibaba as of 26 Oct 2026. That is about $0.63 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 Qwen3.7-Max?: Qwen3.7-Max has a context window of 992K tokens, roughly 744,000 words of text read at once. A single answer can be up to 66K tokens long.
Is Qwen3.7-Max open source?: We list Qwen3.7-Max 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 Qwen3.7-Max compared with other AI models?: On the Epoch Capabilities Index, Qwen3.7-Max scores 154.0 (likely range 152.3 to 156.5), which ranks 45 of 270 models we track. On Arena's human-vote text board it is ranked 35 of 166. Scores close together are a tie in practice.
How does Qwen3.7-Max compare with Muse Spark 1.1?: Muse Spark 1.1 scores higher on 3 of 5 shared quality measures, Qwen3.7-Max on 0. 2 measures are too close to call. Muse Spark 1.1 costs about 47% less than Qwen3.7-Max on a blended price of $2.00 against $3.75 per million tokens. See the full comparison for every measure.
How current are these numbers for Qwen3.7-Max?: 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