Gemma 4 (Google) vs Codestral 2 (Mistral)
Which one should you pick? Here's the full breakdown.
Gemma 4 (Google)
Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices
Codestral 2 (Mistral)
Mistral's dedicated code model -- Codestral 2 (launched 2026-04-08) relicensed under Apache 2.0, removing the commercial-use restrictions of the original. 22B dense, strong FIM (fill-in-middle), available via Mistral API + Hugging Face
| Category | Gemma 4 (Google) | Codestral 2 (Mistral) |
|---|---|---|
| Ease of Use | 7.0 | 6.0 |
| Output Quality | 8.0 | 8.0 |
| Value | 10.0 | 9.0 |
| Features | 8.0 | 7.0 |
| Overall | 8.3 | 7.5 |
Pricing Comparison
| Feature | Gemma 4 (Google) | Codestral 2 (Mistral) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
Gemma 4 31B benchmarks — Codestral 2 (Mistral) has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| MMLU | Knowledge across 57 subjects | 83% |
| GPQA Diamond | Graduate-level science questions | 84.3% |
| AIME 2026 | 89.2% | |
| HumanEval | Python code generation | 85% |
Which Should You Pick?
Pick Gemma 4 (Google) if...
- ✓Easier to use (7 vs 6)
- ✓Better value for money (10/10)
- ✓More features (8 vs 7)
Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune. Especially good for multilingual use cases and on-device deployment.
Visit Gemma 4 (Google)Pick Codestral 2 (Mistral) if...
Developers and teams who want a legally-clean open-weights code model they can self-host OR hit via API, particularly those with EU data-residency requirements. Ideal for building in-house IDE extensions, code-review bots, or CI/CD AI integrations where the Apache 2.0 license removes procurement friction.
Visit Codestral 2 (Mistral)Our Verdict
Gemma 4 (Google) edges out Codestral 2 (Mistral) with a 8.3 vs 7.5 overall score. Both are solid picks, but Gemma 4 (Google) has the advantage in value.