GPT-5.6 Sol vs Sakana Namazu
GPT-5.6 Sol leads the LLM Stats Score 57.2 to 43.2. Sakana Namazu is 6.6x cheaper per token.
OpenAI · Sakana AI · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 57.2 to 43.2, ranking #1 overall.
On price, Sakana Namazu is roughly 6.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 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 GPT-5.6 Sol
- overall performance matters — it scores 57.2 and ranks #1 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
Choose Sakana Namazu
- cost matters — it's about 6.6x cheaper per token
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
44 reported for GPT-5.6 Sol · 3 for Sakana Namazu
GPT-5.6 Sol 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, GPT-5.6 Sol ($5.00/1M tokens) is 5.3x more expensive than Sakana Namazu ($0.95/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 7.5x more expensive than Sakana Namazu ($4.00/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than Sakana Namazu.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to Sakana Namazu's 256,000 tokens. Sakana Namazu can generate longer responses up to 256,000 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Sol and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
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
GPT-5.6 Sol was released on 2026-07-09, while Sakana Namazu was released on 2026-08-03.
Sakana Namazu is 1 month newer than GPT-5.6 Sol.
Jul 9, 2026
1 months ago
Aug 3, 2026
3 weeks ago
3w newerKnowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Sakana Namazu's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Sakana Namazu's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Sakana Namazu is available from Sakana AI.
GPT-5.6 Sol
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs Sakana Namazu.