DeepSeek V4.1 Flash vs Kimi K2 Thinking
Price, context window & benchmark comparison
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Verdict: DeepSeek V4.1 Flash is 5.1× cheaper than Kimi K2 Thinking on a typical 3:1 input/output mix. DeepSeek V4.1 Flash has the larger context window (1M vs 262K).
| DeepSeek V4.1 Flash | Kimi K2 Thinking | |
|---|---|---|
| Input price / 1M | $0.14 | $0.60 |
| Output price / 1M | $0.42 | $2.50 |
| Blended price (3:1) | $0.21 | $1.07 |
| Cached input / 1M | $0.0042 | $0.15 |
| Context window | 1M | 262K |
| Max output | 131K | 98K |
| Intelligence index | 39.5 | — |
| Coding index | — | 21 |
| Providers | 26 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-09-10 | 2025-11-06 |
| Retirement | — | — |
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FAQ
Which is cheaper, DeepSeek V4.1 Flash or Kimi K2 Thinking?
DeepSeek V4.1 Flash is 5.1× cheaper than Kimi K2 Thinking on a typical 3:1 input/output mix.
DeepSeek V4.1 Flash vs Kimi K2 Thinking: which has a bigger context window?
DeepSeek V4.1 Flash: 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 V4.1 Flash ≈ $490.00, Kimi K2 Thinking ≈ $2,450.
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