Inkling vs Sakana Namazu: Specs & Benchmark Comparison
Inkling is developed by Thinking Machines Lab, while Sakana Namazu comes from Sakana AI. Inkling was released in July 2026, and Sakana Namazu followed a month later in August 2026. Inkling has a published size of about 975 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.
We have 16 benchmark results for Inkling and 3 benchmark results for Sakana Namazu, but they overlap on a single test: AIME 2026, where Inkling scores 97.1% against 96.7%.
On price the two are close: Inkling costs $0.95 per million input tokens and $4.05 per million output tokens, Sakana Namazu $0.95 and $4. Inkling takes the larger context window at 524K tokens, compared with 256K for Sakana Namazu. Inkling accepts text, images, and audio as input, while Sakana Namazu accepts text and images.
| Characteristic | Inkling | Sakana Namazu |
|---|---|---|
| Company | Thinking Machines Lab | Sakana AI |
| Release Date | July 21, 2026 | August 3, 2026 |
| Parameters | 975B | — |
| Multimodal | Yes | Yes |
| Context (input) | 524K | 256K |
| Context (output) | 524K | 256K |
| Input Price / 1M | $0.95 | $0.95 |
| Output Price / 1M | $4.05 | $4.00 |
| Average Score | 61.8% | 92.4% |
| Benchmarks | ||
| AIME 2026 | 97.1% | 96.7% |
Visual Benchmark Comparison
Verdict
Both models show equal results — the choice depends on your specific use case.
Both models show comparable average scores: Inkling — 0.6, Sakana Namazu — 0.9.
Sakana Namazu is 1.0x cheaper: input $0.95/1M vs $0.95/1M tokens.
Inkling supports a larger context: 524K vs 256K tokens.
Both models were released around the same time: 7/21/2026 and 8/3/2026.
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Frequently Asked Questions
Which is better for coding — Inkling or Sakana Namazu?
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The Inkling 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 Inkling or Sakana Namazu page. See also the complete list of AI model comparisons.