GPT-5.5 vs Mistral Large 2
Compare GPT-5.5 vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-5.5 charges $5.00/1M input and $30.00/1M output tokens, compared to Mistral Large 2 at $2.00/1M input and $6.00/1M output. Mistral Large 2 is 2.5x cheaper on input tokens. In reasoning benchmarks, Neither rated holds the higher AA Intelligence Index rating. For latency-critical streaming, throughput figures are not yet measured for at least one of these models.
Full Metric & Specification Comparison
| Metric | GPT-5.5 | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | OpenAI | Mistral | - |
| Input Token Cost (1M) | $5.000 | $2.000 | Mistral Large 2 |
| Output Token Cost (1M) | $30.000 | $6.000 | Mistral Large 2 |
| Context Window | 922k tokens | 128k tokens | GPT-5.5 |
| AA Intelligence Index | Unrated | Unrated | Unrated |
| Streaming Latency | Moderate | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: GPT-5.5 is $5.00/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: GPT-5.5 is $30.00/1M vs Mistral Large 2 at $6.00/1M
- Context Window: GPT-5.5 supports 922k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: GPT-5.5 is rated Moderate vs Mistral Large 2 rated null
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying Mistral Large 2 over GPT-5.5 saves $225.00/mo ($2700/yr) at this volume.
Frequently Asked Questions
Is GPT-5.5 cheaper than Mistral Large 2?
Mistral Large 2 is significantly more economical, charging $2.00/1M input compared to $5.00/1M for GPT-5.5.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Mistral Large 2. If you require peak reasoning accuracy and complex tool use, Neither rated is recommended.
How does context window compare between GPT-5.5 and Mistral Large 2?
GPT-5.5 offers the larger context window (922k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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