GLM-5.3 Flash vs Sakana Namazu: Specs & Benchmark Comparison
GLM-5.3 Flash is developed by Zhipu AI, while Sakana Namazu comes from Sakana AI. Both were released in August 2026. GLM-5.3 Flash has a published size of about 320 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.
We have 16 benchmark results for GLM-5.3 Flash and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
GLM-5.3 Flash is the cheaper API at $0.15 per million input tokens and $0.50 per million output tokens, roughly 6 times cheaper than Sakana Namazu at $0.95 and $4. GLM-5.3 Flash takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. GLM-5.3 Flash accepts text, images, and video as input, while Sakana Namazu accepts text and images. On tooling, only GLM-5.3 Flash supports function calling and only GLM-5.3 Flash offers structured output.
| Characteristic | GLM-5.3 Flash | Sakana Namazu |
|---|---|---|
| Company | Zhipu AI | Sakana AI |
| Release Date | August 26, 2026 | August 3, 2026 |
| Parameters | 320B | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 131K | 256K |
| Input Price / 1M | $0.15 | $0.95 |
| Output Price / 1M | $0.50 | $4.00 |
| Average Score | 64.1% | 92.4% |
Verdict
GLM-5.3 Flash leads in 3 out of 4 comparison categories.
Both models show comparable average scores: GLM-5.3 Flash — 0.6, Sakana Namazu — 0.9.
GLM-5.3 Flash is 7.6x cheaper: input $0.15/1M vs $0.95/1M tokens.
GLM-5.3 Flash supports a larger context: 1M vs 256K tokens.
GLM-5.3 Flash is newer: released 8/26/2026 vs 8/3/2026.
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Frequently Asked Questions
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The GLM-5.3 Flash 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 GLM-5.3 Flash or Sakana Namazu page. See also the complete list of AI model comparisons.