DeepSeek-V3.2 (Thinking) vs Sakana Namazu: Specs & Benchmark Comparison
DeepSeek-V3.2 (Thinking) is developed by DeepSeek, while Sakana Namazu comes from Sakana AI. DeepSeek-V3.2 (Thinking) was released in November 2025, and Sakana Namazu followed 9 months later in August 2026. DeepSeek-V3.2 (Thinking) has a published size of about 685 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.
We have 14 benchmark results for DeepSeek-V3.2 (Thinking) and 3 benchmark results for Sakana Namazu, but they overlap on a single test: MMLU-Pro, where Sakana Namazu scores 90.3% against 85.0%.
DeepSeek-V3.2 (Thinking) is the cheaper API at $0.28 per million input tokens and $0.42 per million output tokens, roughly 3 times cheaper than Sakana Namazu at $0.95 and $4. Sakana Namazu takes the larger context window at 256K tokens, compared with 131K for DeepSeek-V3.2 (Thinking). DeepSeek-V3.2 (Thinking) accepts text as input, while Sakana Namazu accepts text and images. On tooling, only DeepSeek-V3.2 (Thinking) supports function calling and only DeepSeek-V3.2 (Thinking) offers structured output.
| Characteristic | DeepSeek-V3.2 (Thinking) | Sakana Namazu |
|---|---|---|
| Company | DeepSeek | Sakana AI |
| Release Date | November 30, 2025 | August 3, 2026 |
| Parameters | 685B | — |
| Multimodal | No | Yes |
| Context (input) | 131K | 256K |
| Context (output) | 66K | 256K |
| Input Price / 1M | $0.28 | $0.95 |
| Output Price / 1M | $0.42 | $4.00 |
| Average Score | 68.5% | 92.4% |
| Benchmarks | ||
| MMLU-Pro | 85.0% | 90.3% |
Visual Benchmark Comparison
Verdict
Sakana Namazu leads in 2 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.7, Sakana Namazu — 0.9.
DeepSeek-V3.2 (Thinking) is 7.1x cheaper: input $0.28/1M vs $0.95/1M tokens.
Sakana Namazu supports a larger context: 256K vs 131K tokens.
Sakana Namazu is newer: released 8/3/2026 vs 11/30/2025.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V3.2 (Thinking) or Sakana Namazu?
Which model is cheaper — DeepSeek-V3.2 (Thinking) or Sakana Namazu?
Which has a larger context window — DeepSeek-V3.2 (Thinking) or Sakana Namazu?
The DeepSeek-V3.2 (Thinking) 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-V3.2 (Thinking) or Sakana Namazu page. See also the complete list of AI model comparisons.