Mistral Large 4 vs Sakana Namazu
Mistral Large 4 and Sakana Namazu are closely matched at 45.8 and 41.7 on the LLM Stats Score. Mistral Large 4 is 1.7x cheaper per token.
Mistral AI · Sakana AI · Updated for 2026
Which is better?
Mistral Large 4 and Sakana Namazu are closely matched on the overall LLM Stats Score at 45.8 and 41.7.
On price, Mistral Large 4 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Large 4
- cost matters — it's about 1.7x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Sakana Namazu
- you want predictable pricing at $0.95/M input and $4.00/M output
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Mistral Large 4 · 3 for Sakana Namazu
Mistral Large 4 and Sakana Namazudon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Large 4 ($0.68/1M tokens) is 1.4x cheaper than Sakana Namazu ($0.95/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 1.9x cheaper than Sakana Namazu ($4.00/1M tokens).
In conclusion, Sakana Namazu is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Sakana Namazu's 256,000 tokens. Only Sakana Namazu specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Large 4 and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 4
Sakana Namazu
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 4 was released on 2026-10-06, while Sakana Namazu was released on 2026-08-03.
Mistral Large 4 is 2 months newer than Sakana Namazu.
Oct 6, 2026
1 weeks ago
2mo newerAug 3, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Large 4 is available from Mistral AI. Sakana Namazu is available from Sakana AI.
Mistral Large 4
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Sakana Namazu.