Mistral Large 2 (Jul '24)
AI model by Mistral. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Mistral Large 2 (Jul '24) is positioned in the mid-tier at $6.00/M output tokens. The benchmark profile is balanced — scoring across standard tests — making it a default choice for teams that need general-purpose reasoning without paying frontier-model prices.
Cost model. For a workload of 1M input tokens + 100K output tokens, Mistral Large 2 (Jul '24) costs $2.60 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Mistral Large 2 (Jul '24)Current | $2.00 | $6.00 | — |
| Grok 4.20 0309 (Reasoning) | $2.00 | $6.00 | — |
| Grok 4.20 0309 (Non-reasoning) | $2.00 | $6.00 | — |
| Qwen3 Max (Preview) | $1.20 | $6.00 | 58 tok/s |
| Qwen3.8 Max | $2.00 | $6.00 | 50 tok/s |
| Grok 4.5 (high) | $2.00 | $6.00 | 64 tok/s |