Gemma 4 31B vs Mistral Large 3
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 4 31B and Mistral Large 3.
Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Mistral Large 3
Mistral's flagship commercial model, boasting multilingual support and advanced coding and math skills. Designed for complex reasoning and enterprise tasks that require high compliance.
Technical Specifications
| Specification | Gemma 4 31B | Mistral Large 3 |
|---|---|---|
| Provider | Mistral | |
| Context Window | 262,144 tokens | 262,144 tokens |
| Agent Suitability | N/A | 91/100 |
| Time to First Token (TTFT) | N/A | 250 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-02 | 2024-07-24 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 31B
$0.12
Mistral Large 3
$0.50
Output Price per Million Tokens
Gemma 4 31B
$0.35
Mistral Large 3
$1.50
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemma 4 31B Quirks & Gotchas
No developer gotchas reported.
Mistral Large 3 Quirks & Gotchas
- ▸Top-tier structured JSON output — best multilingual function calling
- ▸Le Chat offers free consumer tier with same underlying model