Grok 4.7 vs Mistral Large 2
Compare Grok 4.7 vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Grok 4.7 charges $2.00/1M input and $6.00/1M output tokens, compared to Mistral Large 2 at $2.00/1M input and $6.00/1M output. Grok 4.7 is 1.0x cheaper on input tokens. In reasoning benchmarks, Grok 4.7 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 | Grok 4.7 | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | xAI | Mistral | - |
| Input Token Cost (1M) | $2.000 | $2.000 | Tie |
| Output Token Cost (1M) | $6.000 | $6.000 | Tie |
| Context Window | 500k tokens | 128k tokens | Grok 4.7 |
| AA Intelligence Index | 35/100 | Unrated | Unrated |
| Streaming Latency | Moderate | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: Grok 4.7 is $2.00/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: Grok 4.7 is $6.00/1M vs Mistral Large 2 at $6.00/1M
- Context Window: Grok 4.7 supports 500k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: Grok 4.7 is rated Moderate vs Mistral Large 2 rated null
Calculate Your Team's Exact Bill Difference
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Frequently Asked Questions
Is Grok 4.7 cheaper than Mistral Large 2?
Grok 4.7 is significantly more economical, charging $2.00/1M 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 Grok 4.7. If you require peak reasoning accuracy and complex tool use, Grok 4.7 is recommended.
How does context window compare between Grok 4.7 and Mistral Large 2?
Grok 4.7 offers the larger context window (500k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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