Kimi K2 Thinking vs Mistral Large 4
Price, context window & benchmark comparison
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Verdict: Mistral Large 4 is 2% cheaper than Kimi K2 Thinking on a typical 3:1 input/output mix. Mistral Large 4 has the larger context window (1M vs 262K).
| Kimi K2 Thinking | Mistral Large 4 | |
|---|---|---|
| Input price / 1M | $0.60 | $0.70 |
| Output price / 1M | $2.50 | $2.10 |
| Blended price (3:1) | $1.07 | $1.05 |
| Cached input / 1M | $0.15 | $0.07 |
| Context window | 262K | 1M |
| Max output | 98K | 262K |
| Intelligence index | — | 26.1 |
| Coding index | 21 | — |
| Providers | — | 2 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2025-11-06 | 2026-10-06 |
| Retirement | — | — |
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FAQ
Which is cheaper, Kimi K2 Thinking or Mistral Large 4?
Mistral Large 4 is 2% cheaper than Kimi K2 Thinking on a typical 3:1 input/output mix.
Kimi K2 Thinking vs Mistral Large 4: which has a bigger context window?
Kimi K2 Thinking: 262,144 tokens. Mistral Large 4: 1,048,576 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Kimi K2 Thinking ≈ $2,450, Mistral Large 4 ≈ $2,450.
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