How much does Qwen3.7 Max cost?

Qwen3.7 Max costs $1.25 per million input tokens and $3.75 per million output tokens. For a typical conversation (~2,000 tokens), that's approximately $0.006 per message.

What benchmarks has Qwen3.7 Max been tested on?

Qwen3.7 Max has been evaluated on 24 benchmarks. Top scores: OTIS Mock AIME 2024-2025: 95.5, GPQA diamond: 87.9, Dtbench: 87.1.

Is Qwen3.7 Max open source?

Yes, Qwen3.7 Max is open source.

How does Qwen3.7 Max compare to Qwen3.5 397B A17B?

Qwen3.7 Max has an average score of 69.8 while Qwen3.5 397B A17B scores 69.7. Qwen3.7 Max outperforms Qwen3.5 397B A17B overall. Qwen3.7 Max costs $1.25/1M input vs Qwen3.5 397B A17B at $0.55/1M input. See full comparison →

Home/Models/Qwen3.7 Max

Qwen3.7 Max

Name: Qwen3.7 Max · benchmarks, pricing and providers
Creator: BenchGecko

by Alibaba Qwen · Released May 2026

Open Source1M Context

69.8

avg score

Rank #37

Compare

Better than 88% of all models

Context

1.0M tokens (~500 books)

Input $/1M

$1.25

Output $/1M

$3.75

Type

text

License

Open Source

Benchmarks

24 tested

Data as of 2026-10-05

About

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

Tested on 24 benchmarks · BenchGecko score 69.8. Top scores: OTIS Mock AIME 2024-2025 (95.5%), GPQA diamond (87.9%), Dtbench (87.1%).

Looking for similar performance at lower cost?
Qwen3.5 397B A17B scores 69.7 (100% as good) at $0.55/1M input · 56% cheaper

Capabilities

coding

67.7

#20 globally

reasoning

73.2

#36 globally

math

69.9

#47 globally

knowledge

58.2

#69 globally

speed

47.5

#37 globally

language

76.9

#62 globally

general

39.9

#70 globally

Benchmark Scores

Compare All

Tested on 24 benchmarks · Ranked across 7 categories

Score Distribution (all 312 models)

0255075100

▲ You are here

codingCompare coding →

SWE-Bench verified

Real-world software engineering tasks from GitHub issues. Models must diagnose bugs and write patches that pass test suites. Human-verified subset of SWE-bench.

77.3·

LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

74.2·

LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

51.7·

reasoningCompare reasoning →

LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

83.3·

LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

71.8·

SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

64.5·

mathCompare math →

OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

95.5·

LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

85.3·

FrontierMath-Tiers-1-3-v2-Private

64.6·

Quick compare:

vs Qwen3.5 397B A17B

vs GPT-5.2 Pro

vs phi-3-medium 14B

Excellent (85+) Good (70-85) Average (50-70) Below (<50)

Model Family · Alibaba Qwen Qwen 3.7

Qwen3.7 FlashJul 2026

44.6

$0.03/M in1.0Mctx5 benchmarks

Qwen3.7 MaxMay 2026

69.8+25.2

$1.25/M in(+1.22)1.0Mctx24 benchmarks

Qwen3.7 PlusJun 2026

43.2-26.6

$0.32/M in(-0.93)1.0Mctx23 benchmarks

See the full Qwen 3.7 family →

Similar Models

Links

Info

Alibaba Qwen Pricing explorer Developers · API

Research

Documentation

Community

Source Code

BenchGecko API

qwen3-7-max

Specifications

Typetext
Context1.0M tokens (~500 books)
ReleasedMay 2026
LicenseOpen Source
StatusActive
Cost / Message~$0.006

Available On

Alibaba Qwen$1.25

Frequently Asked Questions

Qwen3.7 Max is an open-source text AI model by Alibaba Qwen, released in May 2026. It has an average benchmark score of 69.8. Context window: 1M tokens.

Benchmarks

OTIS Mock AIME 2024-2025 GPQA diamond Dtbench LiveBench — Mathematics LiveBench — Reasoning

Alibaba Qwen · Provider Alibaba Qwen · Economy All Models Compare Models Pricing Developers · API Context Window · Glossary

Key facts · as of 2026-10-05

Qwen3.7 Max by Alibaba Qwen. BenchGecko score 69.8, rank 37 of 312 scored models (normalized average of public benchmark scores).
List price $1.25 input · $3.75 output per 1M tokens (as of 2026-10-05).

How to cite · data as of 2026-10-05

Qwen3.7 Max · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/qwen3-7-max

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP

Qwen3.7 Max

Frequently Asked Questions

Related Models

Benchmarks

Related Pages

Key facts · as of 2026-10-05

How to cite · data as of 2026-10-05