Mistral Large 2407 vs Qwen3.8 Max (0902)
Price, context window & benchmark comparison
VS
Compare different models
Verdict: Qwen3.8 Max (0902) has the larger context window (1M vs 131K).
| Mistral Large 2407 | Qwen3.8 Max (0902) | |
|---|---|---|
| Input price / 1M | $2.00 | $2.00 |
| Output price / 1M | $6.00 | $6.00 |
| Blended price (3:1) | $3.00 | $3.00 |
| Cached input / 1M | $0.20 | $0.25 |
| Context window | 131K | 1M |
| Max output | 105K | 131K |
| Intelligence index | — | 45.4 |
| Coding index | — | 76.2 |
| Providers | — | 1 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Released | 2024-11-19 | 2026-09-03 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, Mistral Large 2407 or Qwen3.8 Max (0902)?
Mistral Large 2407 and Qwen3.8 Max (0902) are priced identically.
Mistral Large 2407 vs Qwen3.8 Max (0902): which has a bigger context window?
Mistral Large 2407: 131,072 tokens. Qwen3.8 Max (0902): 1,000,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Mistral Large 2407 ≈ $7,000, Qwen3.8 Max (0902) ≈ $7,000.
More comparisons
Mistral Large 2407 vs GLM 5.3 PrimeMistral Large 2407 vs Qwen3.8 Max PrimeMistral Large 2407 vs Command A+Mistral Large 2407 vs GPT-6 Luna ProMistral Large 2407 vs GPT-6 LunaMistral Large 2407 vs GPT-6 Sol ProMistral Large 2407 vs GPT-6 SolMistral Large 2407 vs Claude Opus 5.5Mistral Large 2407 vs MiMo-V2.6-Pro-UltraSpeedMistral Large 2407 vs MiMo-V2.6-FlashMistral Large 2407 vs Grok 4.7Mistral Large 2407 vs Qwen3.8 Omni FlashMistral Large 2407 vs GLM 5.3 FlashXMistral Large 2407 vs DeepSeek V4.1 FlashMistral Large 2407 vs GPT-6 AstraMistral Large 2407 vs GPT-6 Astra ProQwen3.8 Max (0902) vs GLM 5.3 PrimeQwen3.8 Max (0902) vs Qwen3.8 Max PrimeQwen3.8 Max (0902) vs Command A+Qwen3.8 Max (0902) vs GPT-6 Luna ProQwen3.8 Max (0902) vs GPT-6 LunaQwen3.8 Max (0902) vs GPT-6 Sol ProQwen3.8 Max (0902) vs GPT-6 SolQwen3.8 Max (0902) vs Claude Opus 5.5