GLM-5.3 vs Sakana Namazu
GLM-5.3 and Sakana Namazu are closely matched at 52.7 and 42.1 on the LLM Stats Score. Sakana Namazu is 1.1x cheaper per token.
Zhipu AI · Sakana AI · Updated for 2026
Which is better?
GLM-5.3 and Sakana Namazu are closely matched on the overall LLM Stats Score at 52.7 and 42.1.
On price, Sakana Namazu is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,048,576 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 GLM-5.3
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Sakana Namazu
- cost matters — it's about 1.1x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
17 reported for GLM-5.3 · 3 for Sakana Namazu
GLM-5.3 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, GLM-5.3 ($1.20/1M tokens) is 1.3x more expensive than Sakana Namazu ($0.95/1M tokens).
For output processing, GLM-5.3 ($4.00/1M tokens) costs the same as Sakana Namazu ($4.00/1M tokens).
In conclusion, GLM-5.3 is more expensive than Sakana Namazu.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,048,576 input tokens compared to Sakana Namazu's 256,000 tokens. GLM-5.3 can generate longer responses up to 1,048,576 tokens, while Sakana Namazu is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Sakana Namazu supports multimodal inputs, whereas GLM-5.3 does not.
Sakana Namazu can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Sakana Namazu
License
Usage and distribution terms
GLM-5.3 is licensed under GLM-5.3 License, while Sakana Namazu uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
GLM-5.3 License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Sakana Namazu was released on 2026-08-03.
GLM-5.3 is 0 month newer than Sakana Namazu.
Aug 14, 2026
1 months ago
1w newerAug 3, 2026
1 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
GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI. Sakana Namazu is available from Sakana AI.
GLM-5.3
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Sakana Namazu.