Context
33K tokens (~16 books)
Input $/1M
$1.04
Output $/1M
$4.16
Type
text
License
Open Source
Benchmarks
0 tested
Data as of
About
Qwen-Max, based on Qwen2.5, provides the best inference performance among Qwen models, especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion...
No benchmark data available yet.
Links
Research
Documentation
Community
Source Code
BenchGecko API
qwen-max
Specifications
- Typetext
- Context33K tokens (~16 books)
- ReleasedFeb 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.006
Available On
Learn More
Share & Export
Frequently Asked Questions
Qwen-Max is an open-source text AI model by Alibaba Qwen, released in February 2025. Context window: 33K tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenBenchmarks
Key facts · as of 2026-05-03
- Qwen-Max by Alibaba Qwen. Not enough public benchmark scores to rank yet.
- List price $1.04 input · $4.16 output per 1M tokens (as of 2026-05-03).
How to cite · data as of 2026-05-03
Qwen-Max · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/qwen-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