Qwen3.8 Flash vs Sakana Namazu
Qwen3.8 Flash and Sakana Namazu are closely matched at 49.1 and 42.1 on the LLM Stats Score. Qwen3.8 Flash is 7.4x cheaper per token.
Alibaba Cloud / Qwen Team · Sakana AI · Updated for 2026
Which is better?
Qwen3.8 Flash 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 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 7.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.8 Flash also accepts a larger context window (1,000,000 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 Qwen3.8 Flash
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 7.4x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
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 · 3 for Sakana Namazu
Qwen3.8 Flash outperforms in 1 benchmarks (LiveCodeBench v6), while Sakana Namazu is better at 0 benchmarks.
Qwen3.8 Flash 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, Qwen3.8 Flash ($0.15/1M tokens) is 6.3x cheaper than Sakana Namazu ($0.95/1M tokens).
For output processing, Qwen3.8 Flash ($0.47/1M tokens) is 8.5x cheaper than Sakana Namazu ($4.00/1M tokens).
In conclusion, Sakana Namazu is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.8 Flash accepts 1,000,000 input tokens compared to Sakana Namazu's 256,000 tokens. Sakana Namazu can generate longer responses up to 256,000 tokens, while Qwen3.8 Flash is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Qwen3.8 Flash and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.8 Flash
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
Qwen3.8 Flash was released on 2026-08-26, while Sakana Namazu was released on 2026-08-03.
Qwen3.8 Flash 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.
Provider Availability
Qwen3.8 Flash is available from Novita. Sakana Namazu is available from Sakana AI.
Qwen3.8 Flash
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3.8 Flash and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3.8 Flash vs Sakana Namazu.