Mistral Large 2 vs Sakana Namazu: Specs & Benchmark Comparison

Mistral Large 2 is developed by Mistral AI, while Sakana Namazu comes from Sakana AI. Mistral Large 2 was released in July 2024, and Sakana Namazu followed 25 months later in August 2026. Mistral Large 2 has a published size of about 123 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.

We have 5 benchmark results for Mistral Large 2 and 3 benchmark results for Sakana Namazu, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Sakana Namazu is the cheaper API at $0.95 per million input tokens and $4 per million output tokens, roughly 2 times cheaper than Mistral Large 2 at $2 and $6. Sakana Namazu takes the larger context window at 256K tokens, compared with 128K for Mistral Large 2. Mistral Large 2 accepts text as input, while Sakana Namazu accepts text and images. On tooling, only Mistral Large 2 supports function calling and only Mistral Large 2 offers structured output.

CharacteristicMistral Large 2Sakana Namazu
CompanyMistral AISakana AI
Release DateJuly 24, 2024August 3, 2026
Parameters123B
MultimodalNoYes
Context (input)128K256K
Context (output)128K256K
Input Price / 1M$2.00$0.95
Output Price / 1M$6.00$4.00
Average Score87.6%92.4%

Verdict

Sakana Namazu leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Mistral Large 2 — 0.9, Sakana Namazu — 0.9.

API Cost

Sakana Namazu is 1.6x cheaper: input $0.95/1M vs $2.00/1M tokens.

Context Window

Sakana Namazu supports a larger context: 256K vs 128K tokens.

Recency

Sakana Namazu is newer: released 8/3/2026 vs 7/24/2024.

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Frequently Asked Questions

Which is better for coding — Mistral Large 2 or Sakana Namazu?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Mistral Large 2 or Sakana Namazu?
Sakana Namazu is cheaper for input: $0.95 per 1M tokens vs $2.00.
Which has a larger context window — Mistral Large 2 or Sakana Namazu?
Sakana Namazu supports a larger context: 256,000 tokens vs 128,000.

The Mistral Large 2 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 Mistral Large 2 or Sakana Namazu page. See also the complete list of AI model comparisons.