Qwen3.8-27B vs Sakana Namazu
Qwen3.8-27B and Sakana Namazu are closely matched at 45.2 and 42.8 on the LLM Stats Score.
Alibaba Cloud / Qwen Team · Sakana AI · Updated for 2026
Which is better?
Qwen3.8-27B and Sakana Namazu are closely matched on the overall LLM Stats Score at 45.2 and 42.8.
In the 1 individual benchmarks reported for both models, Sakana Namazu wins 1; this is a narrower head-to-head signal than the composite indexes.
Qwen3.8-27B also accepts a larger context window (262,144 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 Qwen3.8-27B
- you process long inputs — it offers a 262,144 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Qwen3.8-27B · 3 for Sakana Namazu
Qwen3.8-27B outperforms in 0 benchmarks, while Sakana Namazu is better at 1 benchmark (LiveCodeBench v6).
Sakana Namazu significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Qwen3.8-27B accepts 262,144 input tokens compared to Sakana Namazu's 256,000 tokens. Sakana Namazu can generate longer responses up to 256,000 tokens, while Qwen3.8-27B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Qwen3.8-27B and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.8-27B
Sakana Namazu
License
Usage and distribution terms
Qwen3.8-27B is licensed under Apache 2.0, while Sakana Namazu uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.8-27B was released on 2026-08-14, while Sakana Namazu was released on 2026-08-03.
Qwen3.8-27B is 0 month newer than Sakana Namazu.
Aug 14, 2026
3 weeks 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
Qwen3.8-27B is available from FriendliAI. Sakana Namazu is available from Sakana AI.
Qwen3.8-27B
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3.8-27B and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3.8-27B vs Sakana Namazu.