Qwen3.8-Flash-Next vs Sakana Namazu
Qwen3.8-Flash-Next and Sakana Namazu are closely matched at 49.1 and 42.1 on the LLM Stats Score.
Alibaba Cloud / Qwen Team · Sakana AI · Updated for 2026
Which is better?
Qwen3.8-Flash-Next and Sakana Namazu are closely matched on the overall LLM Stats Score at 49.1 and 42.1.
In the 1 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen3.8-Flash-Next
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 want predictable pricing at $0.95/M input and $4.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Qwen3.8-Flash-Next · 3 for Sakana Namazu
Qwen3.8-Flash-Next outperforms in 1 benchmarks (LiveCodeBench v6), while Sakana Namazu is better at 0 benchmarks.
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Sakana Namazu specifies input context (256,000 tokens). Only Sakana Namazu specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Qwen3.8-Flash-Next and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.8-Flash-Next
Sakana Namazu
License
Usage and distribution terms
Qwen3.8-Flash-Next is licensed under Qwen Community License 1.0, while Sakana Namazu uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Qwen Community License 1.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.8-Flash-Next was released on 2026-08-26, while Sakana Namazu was released on 2026-08-03.
Qwen3.8-Flash-Next is 1 month newer than Sakana Namazu.
Aug 26, 2026
3 weeks ago
3w 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.
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3.8-Flash-Next and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3.8-Flash-Next vs Sakana Namazu.