MiniMax M3.1 Flash vs Sakana Namazu
MiniMax M3.1 Flash and Sakana Namazu are closely matched at 48.7 and 41.7 on the LLM Stats Score. MiniMax M3.1 Flash is 6.5x cheaper per token.
MiniMax · Sakana AI · Updated for 2026
Which is better?
MiniMax M3.1 Flash and Sakana Namazu are closely matched on the overall LLM Stats Score at 48.7 and 41.7.
On price, MiniMax M3.1 Flash is roughly 6.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M3.1 Flash 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 MiniMax M3.1 Flash
- cost matters — it's about 6.5x 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
15 reported for MiniMax M3.1 Flash · 3 for Sakana Namazu
MiniMax M3.1 Flash 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, MiniMax M3.1 Flash ($0.15/1M tokens) is 6.3x cheaper than Sakana Namazu ($0.95/1M tokens).
For output processing, MiniMax M3.1 Flash ($0.60/1M tokens) is 6.7x cheaper than Sakana Namazu ($4.00/1M tokens).
In conclusion, Sakana Namazu is more expensive than MiniMax M3.1 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiniMax M3.1 Flash accepts 1,000,000 input tokens compared to Sakana Namazu's 256,000 tokens. MiniMax M3.1 Flash can generate longer responses up to 524,288 tokens, while Sakana Namazu is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both MiniMax M3.1 Flash and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiniMax M3.1 Flash
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
MiniMax M3.1 Flash was released on 2026-10-19, while Sakana Namazu was released on 2026-08-03.
MiniMax M3.1 Flash is 3 months newer than Sakana Namazu.
Oct 19, 2026
0 days 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
MiniMax M3.1 Flash is available from MiniMax. Sakana Namazu is available from Sakana AI.
MiniMax M3.1 Flash
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M3.1 Flash and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M3.1 Flash vs Sakana Namazu.