Model Comparison
Qwen3.7 Max vs Gemma 4 31BWhich is better in 2026?
Qwen3.7 Max significantly outperforms across most benchmarks. Gemma 4 31B is 9.7x cheaper per token.
Verdict: Qwen3.7 Max vs Gemma 4 31B — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and Gemma 4 31B (by Google) 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 6 benchmarks (GDPval-AA, GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMMLU), while Gemma 4 31B is better at 0 benchmarks. Qwen3.7 Max significantly outperforms across most benchmarks.
On price, Gemma 4 31B is roughly 9.7x 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 6 of 6 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 Gemma 4 31B if…
- cost matters — it's about 9.7x 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 6 benchmarks (GDPval-AA, GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMMLU), while Gemma 4 31B 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 9.6x more expensive than Gemma 4 31B ($0.13/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 9.9x more expensive than Gemma 4 31B ($0.38/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than Gemma 4 31B.*
* 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 Gemma 4 31B's 262,144 tokens. Gemma 4 31B can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemma 4 31B supports multimodal inputs, whereas Qwen3.7 Max does not.
Gemma 4 31B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
Gemma 4 31B
License
Usage and distribution terms
Qwen3.7 Max is licensed under a proprietary license, while Gemma 4 31B 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 Gemma 4 31B was released on 2026-04-02.
Qwen3.7 Max is 2 months newer than Gemma 4 31B.
May 19, 2026
1 months ago
1mo newerApr 2, 2026
3 months ago
Knowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Qwen3.7 Max's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.
—
Jan 2025
Provider Availability
Qwen3.7 Max is available from Novita, Together. Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together.
Qwen3.7 Max
Gemma 4 31B
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Gemma 4 31B
View detailsDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and Gemma 4 31B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs Gemma 4 31B.