GPT-5.4 Mini vs Mistral Large 2
Compare GPT-5.4 Mini vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-5.4 Mini charges $0.75/1M input and $4.50/1M output tokens, compared to Mistral Large 2 at $2.00/1M input and $6.00/1M output. GPT-5.4 Mini is 2.7x 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-5.4 Mini | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | OpenAI | Mistral | - |
| Input Token Cost (1M) | $0.750 | $2.000 | GPT-5.4 Mini |
| Output Token Cost (1M) | $4.500 | $6.000 | GPT-5.4 Mini |
| Context Window | 400k tokens | 128k tokens | GPT-5.4 Mini |
| AA Intelligence Index | Unrated | Unrated | Unrated |
| Streaming Latency | Ultra-Fast | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: GPT-5.4 Mini is $0.75/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: GPT-5.4 Mini is $4.50/1M vs Mistral Large 2 at $6.00/1M
- Context Window: GPT-5.4 Mini supports 400k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: GPT-5.4 Mini is rated Ultra-Fast 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 GPT-5.4 Mini over Mistral Large 2 saves $30.00/mo ($360/yr) at this volume.
Frequently Asked Questions
Is GPT-5.4 Mini cheaper than Mistral Large 2?
GPT-5.4 Mini is significantly more economical, charging $0.75/1M 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-5.4 Mini. If you require peak reasoning accuracy and complex tool use, Neither rated is recommended.
How does context window compare between GPT-5.4 Mini and Mistral Large 2?
GPT-5.4 Mini offers the larger context window (400k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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