Model Comparison
Qwen3.7 Max vs Qwen3.6-27BWhich is better in 2026?
Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.6-27B is 1.4x cheaper per token.
Verdict: Qwen3.7 Max vs Qwen3.6-27B — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and Qwen3.6-27B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3.7 Max outperforms in 18 benchmarks (Claw-Eval, GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, LiveCodeBench v6, MMLU-Pro, MMLU-Redux, NL2Repo, QwenWebBench, SkillsBench, SuperGPQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, ZClawBench), while Qwen3.6-27B is better at 0 benchmarks. Qwen3.7 Max significantly outperforms across most benchmarks.
On price, Qwen3.6-27B is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.7 Max if…
- you want the strongest raw capability — it leads on 18 of 18 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
Choose Qwen3.6-27B if…
- cost matters — it's about 1.4x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 18 benchmarks (Claw-Eval, GDPval-AA, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, LiveCodeBench v6, MMLU-Pro, MMLU-Redux, NL2Repo, QwenWebBench, SkillsBench, SuperGPQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0, ZClawBench), while Qwen3.6-27B is better at 0 benchmarks.
Qwen3.7 Max significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 2.1x more expensive than Qwen3.6-27B ($0.60/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 1.0x more expensive than Qwen3.6-27B ($3.60/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than Qwen3.6-27B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7 Max accepts 1,000,000 input tokens compared to Qwen3.6-27B's 262,144 tokens. Both models can generate responses up to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.6-27B supports multimodal inputs, whereas Qwen3.7 Max does not.
Qwen3.6-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
Qwen3.6-27B
License
Usage and distribution terms
Qwen3.7 Max is licensed under a proprietary license, while Qwen3.6-27B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3.7 Max was released on 2026-05-19, while Qwen3.6-27B was released on 2026-04-21.
Qwen3.7 Max is 1 month newer than Qwen3.6-27B.
May 19, 2026
1 months ago
4w newerApr 21, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.7 Max is available from Novita, Together. Qwen3.6-27B is available from Novita.
Qwen3.7 Max
Qwen3.6-27B
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Qwen3.6-27B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and Qwen3.6-27B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs Qwen3.6-27B.