Sakana Namazu vs Solar Pro 4
Sakana Namazu leads the LLM Stats Score 43.2 to 36.0. Solar Pro 4 is 3.3x cheaper per token.
Sakana AI · Upstage · Updated for 2026
Which is better?
Sakana Namazu leads the overall LLM Stats Score 43.2 to 36.0, ranking #37 overall.
In the 2 individual benchmarks reported for both models, Sakana Namazu wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Solar Pro 4 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Solar Pro 4 also accepts a larger context window (524,288 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 Sakana Namazu
- overall performance matters — it scores 43.2 and ranks #37 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Solar Pro 4
- cost matters — it's about 3.3x cheaper per token
- you process long inputs — it offers a 524,288 token context window
- 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
3 reported for Sakana Namazu · 9 for Solar Pro 4
Sakana Namazu outperforms in 2 benchmarks (AIME 2026, MMLU-Pro), while Solar Pro 4 is better at 0 benchmarks.
Sakana Namazu significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Sakana Namazu ($0.95/1M tokens) is 3.2x more expensive than Solar Pro 4 ($0.30/1M tokens).
For output processing, Sakana Namazu ($4.00/1M tokens) is 3.3x more expensive than Solar Pro 4 ($1.20/1M tokens).
In conclusion, Sakana Namazu is more expensive than Solar Pro 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Solar Pro 4 accepts 524,288 input tokens compared to Sakana Namazu's 256,000 tokens. Sakana Namazu can generate longer responses up to 256,000 tokens, while Solar Pro 4 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Sakana Namazu supports multimodal inputs, whereas Solar Pro 4 does not.
Sakana Namazu can handle both text and other forms of data like images, making it suitable for multimodal applications.
Sakana Namazu
Solar Pro 4
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
Sakana Namazu was released on 2026-08-03, while Solar Pro 4 was released on 2026-08-06.
Solar Pro 4 is 0 month newer than Sakana Namazu.
Aug 3, 2026
3 weeks ago
Aug 6, 2026
3 weeks ago
3d newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Sakana Namazu is available from Sakana AI. Solar Pro 4 is available from Upstage.
Sakana Namazu
Solar Pro 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Sakana Namazu and Solar Pro 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Sakana Namazu vs Solar Pro 4.