DeepSeek V4 Flash 0731 vs Kimi K2.6
DeepSeek V4 Flash 0731 vs Kimi K2.6: which AI model is cheaper, has the larger context window and more capabilities? Side-by-side comparison updated daily.
Quick verdict
- DeepSeek V4 Flash 0731 is 14× cheaper than Kimi K2.6 for the same mix of input and output tokens.
- DeepSeek V4 Flash 0731 has the larger context window (1M), useful for long documents and big codebases.
- DeepSeek V4 Flash 0731 is the more recent release (Jul 31, 2026).
- Only Kimi K2.6 accepts images as input.
- DeepSeek V4 Flash 0731 scores higher on independent tests (overall index 154.5 vs 151.0).
- DeepSeek V4 Flash 0731 is both cheaper and better rated: for most uses it is the better choice.
| DeepSeek V4 Flash 0731 | Kimi K2.6 | |
|---|---|---|
| Company | DeepSeek | Moonshot AI |
| Released | Jul 31, 2026 ● | Apr 20, 2026 |
| Overall index | 154.5 ● | 151.0 |
| SWE-bench Verified | — | 76.7% |
| GPQA Diamond | 91.0% ● | 90.8% |
| AIME math | 94.4% | 96.1% ● |
| FrontierMath | 57.5% ● | 57.2% |
| SimpleQA Verified | 33.6% | 34.9% ● |
| Input (per 1M tokens) | $0.018 ● | $0.65 |
| Output (per 1M tokens) | $0.32 ● | $3.41 |
| Cost for 1M input + 1M output tokens | $0.338 ● | $4.06 |
| Providers | 30 ● | 18 |
| Context | 1M ● | 256K |
| Max output | 944K ● | 236K |
| Inputs | Text | Text, Image ● |
| Outputs | Text | Text |
| Reasoning | ✓ | ✓ |
| Tool use | ✓ | ✓ |
| Structured output | ✓ | ✓ |
| Open weights | ✓ | ✓ |
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