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Mistral Large 3 vs GPT-4o Mini
A detailed comparison of Mistral Large 3 (Mistral) and GPT-4o Mini (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Large 3 | GPT-4o Mini | Difference |
|---|---|---|---|
| Input / 1M tokens | $2.00 | $0.15 | -93% |
| Output / 1M tokens | $5.00 | $0.60 | -88% |
| Context window | 128K | 128K | — |
| Max output | 16.384K | 16.384K | — |
Benchmark Comparison
| Benchmark | Mistral Large 3 | GPT-4o Mini |
|---|---|---|
| MMLU-Pro | 83% | 68% |
| HumanEval | 91% | 87.2% |
Capabilities
| Capability | Mistral Large 3 | GPT-4o Mini |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✓ |
| vision | ✓ | ✓ |
Mistral Large 3 Strengths
- ✓Low output cost ($5/1M) for a flagship
- ✓Strong multilingual support
- ✓European data sovereignty option
Mistral Large 3 Weaknesses
- ✗Lower benchmarks than top-tier competitors
- ✗Smaller ecosystem
GPT-4o Mini Strengths
- ✓Extremely cheap
- ✓Fast responses
- ✓Good enough for many production tasks
GPT-4o Mini Weaknesses
- ✗Weaker reasoning than full models
- ✗Can hallucinate more on complex topics
Quick Verdict
Best value: GPT-4o Mini is the more affordable option at $0.15/$0.6 per 1M tokens.
Higher benchmarks: Mistral Large 3 scores higher on average across available benchmarks (87.0% avg).
Choose GPT-4o Mini if cost matters most. Choose Mistral Large 3 if you need the best possible quality for complex tasks.