Gemma 3 vs Mistral Large
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Gemma 3 is open-weights - free to self-host with no API costs. Mistral Large requires paid API access.
- •Gemma 3 is open-source: fine-tune it, self-host it, or use any inference provider. Mistral Large is closed-source.
Specs comparison
| Gemma 3 | Mistral Large | |
|---|---|---|
| Provider | Google DeepMind | Mistral AI |
| Type | Open source | Closed source |
| Context window | 128K | 128K |
| Input / 1M tokens | ✓Free (self-host) | $3.00 |
| Output / 1M tokens | Free (self-host) | $9.00 |
| Release date | 2025-03 | 2024-07 |
Benchmarks
| Benchmark | Gemma 3 | Mistral Large |
|---|---|---|
| MMLU | ~76% | 84.0% |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts.
Strengths
Gemma 3
- ✓Runs on consumer hardware (4B and 12B variants)
- ✓Multimodal input support
- ✓Strong benchmark performance relative to size
- ✓Tight Keras and JAX integration
- ✓Good instruction following out of the box
Mistral Large
- ✓Native multilingual support across 12+ languages
- ✓Reliable function calling and tool use
- ✓Strong coding across 80+ programming languages
- ✓EU-based inference for data compliance
- ✓128K context at competitive pricing
Which should you choose?
Choose Gemma 3 if you need...
- →On-device and edge inference
- →Low-resource environments
- →Prototyping with free Google AI Studio access
- →Researchers benchmarking small models
Choose Mistral Large if you need...
- →Multilingual European deployments
- →Tool-calling and agentic pipelines
- →Code generation and review
- →GDPR-compliant AI applications