DeepSeek-V4-Flash-0731 vs Kimi K2.6: Specs & Benchmark Comparison
DeepSeek-V4-Flash-0731 is developed by DeepSeek, while Kimi K2.6 comes from Moonshot AI. Kimi K2.6 was released in April 2026, and DeepSeek-V4-Flash-0731 followed 3 months later in July 2026. Kimi K2.6 is the larger model at roughly 1.0 trillion parameters, against 304 billion for DeepSeek-V4-Flash-0731.
We have 9 benchmark results for DeepSeek-V4-Flash-0731 and 28 benchmark results for Kimi K2.6, but they overlap on a single test: Toolathlon, where DeepSeek-V4-Flash-0731 scores 70.0% against 50.0%.
DeepSeek-V4-Flash-0731 is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 9 times cheaper than Kimi K2.6 at $1.20 and $4.50. DeepSeek-V4-Flash-0731 takes the larger context window at 1M tokens, compared with 262K for Kimi K2.6. DeepSeek-V4-Flash-0731 accepts text as input, while Kimi K2.6 accepts text and images.
| Characteristic | DeepSeek-V4-Flash-0731 | Kimi K2.6 |
|---|---|---|
| Company | DeepSeek | Moonshot AI |
| Release Date | July 31, 2026 | April 20, 2026 |
| Parameters | 304B | 1.0T |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 262K |
| Context (output) | 393K | 131K |
| Input Price / 1M | $0.14 | $1.20 |
| Output Price / 1M | $0.28 | $4.50 |
| Average Score | 57.5% | 71.2% |
| Benchmarks | ||
| Toolathlon | 70.0% | 50.0% |
Visual Benchmark Comparison
Verdict
DeepSeek-V4-Flash-0731 leads in 3 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.6, Kimi K2.6 — 0.7.
DeepSeek-V4-Flash-0731 is 13.6x cheaper: input $0.14/1M vs $1.20/1M tokens.
DeepSeek-V4-Flash-0731 supports a larger context: 1M vs 262K tokens.
DeepSeek-V4-Flash-0731 is newer: released 7/31/2026 vs 4/20/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or Kimi K2.6?
Which model is cheaper — DeepSeek-V4-Flash-0731 or Kimi K2.6?
Which has a larger context window — DeepSeek-V4-Flash-0731 or Kimi K2.6?
The DeepSeek-V4-Flash-0731 and Kimi K2.6 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Flash-0731 or Kimi K2.6 page. See also the complete list of AI model comparisons.