DeepSeek V4 Flash 0731 vs Kimi K2 Thinking
Price, context window & benchmark comparison
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Verdict: DeepSeek V4 Flash 0731 is 10.0× cheaper than Kimi K2 Thinking on a typical 3:1 input/output mix. DeepSeek V4 Flash 0731 has the larger context window (1M vs 262K).
| DeepSeek V4 Flash 0731 | Kimi K2 Thinking | |
|---|---|---|
| Input price / 1M | $0.0434 | $0.60 |
| Output price / 1M | $0.30 | $2.50 |
| Blended price (3:1) | $0.11 | $1.07 |
| Cached input / 1M | $0.035 | $0.15 |
| Context window | 1M | 262K |
| Max output | 944K | 98K |
| Intelligence index | — | — |
| Coding index | 69.1 | 21 |
| Providers | 27 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-07-31 | 2025-11-06 |
| Retirement | — | — |
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FAQ
Which is cheaper, DeepSeek V4 Flash 0731 or Kimi K2 Thinking?
DeepSeek V4 Flash 0731 is 10.0× cheaper than Kimi K2 Thinking on a typical 3:1 input/output mix.
DeepSeek V4 Flash 0731 vs Kimi K2 Thinking: which has a bigger context window?
DeepSeek V4 Flash 0731: 1,048,576 tokens. Kimi K2 Thinking: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: DeepSeek V4 Flash 0731 ≈ $236.80, Kimi K2 Thinking ≈ $2,450.
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