DeepSeek-V4-Flash-0731 vs Sakana Namazu: Specs & Benchmark Comparison
DeepSeek-V4-Flash-0731 is developed by DeepSeek, while Sakana Namazu comes from Sakana AI. DeepSeek-V4-Flash-0731 was released in July 2026, and Sakana Namazu followed a month later in August 2026. DeepSeek-V4-Flash-0731 has a published size of about 304 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.
We have 9 benchmark results for DeepSeek-V4-Flash-0731 and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
DeepSeek-V4-Flash-0731 is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 7 times cheaper than Sakana Namazu at $0.95 and $4. DeepSeek-V4-Flash-0731 takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. DeepSeek-V4-Flash-0731 accepts text as input, while Sakana Namazu accepts text and images. On tooling, only DeepSeek-V4-Flash-0731 supports function calling and only DeepSeek-V4-Flash-0731 offers structured output.
| Characteristic | DeepSeek-V4-Flash-0731 | Sakana Namazu |
|---|---|---|
| Company | DeepSeek | Sakana AI |
| Release Date | July 31, 2026 | August 3, 2026 |
| Parameters | 304B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 393K | 256K |
| Input Price / 1M | $0.14 | $0.95 |
| Output Price / 1M | $0.28 | $4.00 |
| Average Score | 57.5% | 92.4% |
Verdict
DeepSeek-V4-Flash-0731 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.6, Sakana Namazu — 0.9.
DeepSeek-V4-Flash-0731 is 11.8x cheaper: input $0.14/1M vs $0.95/1M tokens.
DeepSeek-V4-Flash-0731 supports a larger context: 1M vs 256K tokens.
Both models were released around the same time: 7/31/2026 and 8/3/2026.
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Frequently Asked Questions
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The DeepSeek-V4-Flash-0731 and Sakana Namazu 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 Sakana Namazu page. See also the complete list of AI model comparisons.