Model Comparison
Gemma 4 31B vs Mistral Medium 3.5Which is better in 2026?
Mistral Medium 3.5 significantly outperforms across most benchmarks. Gemma 4 31B is 15.6x cheaper per token.
Verdict: Gemma 4 31B vs Mistral Medium 3.5 — which is better?
Gemma 4 31B (by Google) and Mistral Medium 3.5 (by Mistral AI) 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.
Gemma 4 31B outperforms in 0 benchmarks, while Mistral Medium 3.5 is better at 1 benchmark (GDPval-AA). Mistral Medium 3.5 significantly outperforms across most benchmarks.
On price, Gemma 4 31B is roughly 15.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 4 31B also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 4 31B if…
- cost matters — it's about 15.6x cheaper per token
- you process long inputs — it offers a 262,144 token context window
Choose Mistral Medium 3.5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 4 31B outperforms in 0 benchmarks, while Mistral Medium 3.5 is better at 1 benchmark (GDPval-AA).
Mistral Medium 3.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 31B ($0.13/1M tokens) is 11.5x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).
For output processing, Gemma 4 31B ($0.38/1M tokens) is 19.7x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).
In conclusion, Mistral Medium 3.5 is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Medium 3.5 has 97.3B more parameters than Gemma 4 31B, making it 316.9% larger.
Context Window
Maximum input and output token capacity
Gemma 4 31B accepts 262,144 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while Gemma 4 31B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 4 31B and Mistral Medium 3.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
Mistral Medium 3.5
License
Usage and distribution terms
Gemma 4 31B is licensed under Apache 2.0, while Mistral Medium 3.5 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Modified MIT License
Open weights
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while Mistral Medium 3.5 was released on 2026-04-29.
Mistral Medium 3.5 is 1 month newer than Gemma 4 31B.
Apr 2, 2026
3 months ago
Apr 29, 2026
2 months ago
3w newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Mistral Medium 3.5'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 Mistral Medium 3.5's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. Mistral Medium 3.5 is available from Mistral AI.
Gemma 4 31B
Mistral Medium 3.5
Outputs Comparison
Key Takeaways
Gemma 4 31B
View detailsMistral Medium 3.5
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 4 31B and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 4 31B vs Mistral Medium 3.5.