GPT-4o Mini vs Mistral Large 2
Compare GPT-4o Mini vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-4o Mini charges $0.15/1M input and $0.60/1M output tokens, compared to Mistral Large 2 at $2.00/1M input and $6.00/1M output. GPT-4o Mini is 13.3x cheaper on input tokens. In benchmark reasoning, Mistral Large 2 holds the higher intelligence rating (89/100). For latency-critical streaming, GPT-4o Mini delivers 145 t/s (240ms TTFT) while Mistral Large 2 provides 80 t/s (390ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o Mini | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | OpenAI | Mistral | - |
| Input Token Cost (1M) | $0.150 | $2.000 | GPT-4o Mini |
| Output Token Cost (1M) | $0.600 | $6.000 | GPT-4o Mini |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 82/100 | 89/100 | Mistral Large 2 |
| Streaming Latency | Ultra-Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o Mini is $0.15/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: GPT-4o Mini is $0.60/1M vs Mistral Large 2 at $6.00/1M
- Context Window: GPT-4o Mini supports 128k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: GPT-4o Mini scores 82/100 vs Mistral Large 2 at 89/100
- Inference Latency: GPT-4o Mini is rated Ultra-Fast vs Mistral Large 2 rated Fast
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying GPT-4o Mini over Mistral Large 2 saves $68.25/mo ($819/yr) at this volume.
Frequently Asked Questions
Is GPT-4o Mini cheaper than Mistral Large 2?
GPT-4o Mini is significantly more economical, charging $0.15/1M input compared to $2.00/1M for Mistral Large 2.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose GPT-4o Mini. If you require peak reasoning accuracy and complex tool use, Mistral Large 2 is recommended.
How does context window compare between GPT-4o Mini and Mistral Large 2?
GPT-4o Mini offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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