Qwen3.8 Flash vs Sakana Namazu
Qwen3.8 Flash costs 8.5x less per output token than Sakana Namazu ($0.47 vs $4.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.47
- Coding
- No data
- Overall
- No data
- Output $/M
- $4.00
Qwen3.8 Flash or Sakana Namazu: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.8 Flash for output tokens 8.5x cheaper ($0.47 vs $4.00 per million) and a larger context window (1M against 262K tokens).
No benchmark has tested both yet. Qwen3.8 Flash has results on LiveBench coding, LiveBench research and LiveBench browser; Sakana Namazu has none yet. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
Qwen3.8 Flash
Qwen3.8 Flash takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Flash
Qwen3.8 Flash $0.0004, Sakana Namazu $0.0029 per turn.
List prices
At a glance
- Coding index
- Qwen3.8 Flash not benchmarked, Sakana Namazu not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Qwen3.8 Flash $0.47 against Sakana Namazu $4.00 per million output tokens, 8.5x apart.
- Context window
- Qwen3.8 Flash takes 1M tokens, Sakana Namazu 262K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | Qwen3.8 Flash | Sakana Namazu | Leader |
|---|---|---|---|
| LiveBench coding | 87.4% | Not measured | Only Qwen3.8 Flash measured |
| Neither model has a result on the other 42 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Qwen3.8 Flash | Sakana Namazu | Leader |
|---|---|---|---|
| LiveBench research | 74.6% | Not measured | Only Qwen3.8 Flash measured |
| LiveBench browser | 48.0% | Not measured | Only Qwen3.8 Flash measured |
| LiveBench long agentic | 37.1% | Not measured | Only Qwen3.8 Flash measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3.8 Flash | Sakana Namazu | Leader |
|---|---|---|---|
| LiveBench reasoning | 87.4% | Not measured | Only Qwen3.8 Flash measured |
| Neither model has a result on the other 22 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3.8 Flash | Sakana Namazu | Leader |
|---|---|---|---|
| LiveBench design | 72.8% | Not measured | Only Qwen3.8 Flash measured |
| Neither model has a result on the other 8 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3.8 Flash | Sakana Namazu | Leader |
|---|---|---|---|
| LiveBench data analysis | 74.2% | Not measured | Only Qwen3.8 Flash measured |
| Neither model has a result on the other 47 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Qwen3.8 Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.8 Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 Flash costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Qwen3.8 Flash | Sakana Namazu |
|---|---|---|
| Maker | Qwen | Sakana |
| Weights | Open weights | No public weights listed |
| Released | August 26, 2026 | August 11, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $0.15 | $0.95 |
| Output $/Mtok | $0.47 | $4.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.8 Flash better than Sakana Namazu for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.8 Flash for output tokens 8.5x cheaper ($0.47 vs $4.00 per million) and a larger context window (1M against 262K tokens).
Which is cheaper, Qwen3.8 Flash or Sakana Namazu?
Qwen3.8 Flash costs $0.15 per million input tokens and $0.47 per million output tokens; Sakana Namazu costs $0.95 and $4.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.8 Flash or Sakana Namazu?
Qwen3.8 Flash, with 1M tokens against 262K.
Has any benchmark tested both Qwen3.8 Flash and Sakana Namazu?
No benchmark has tested both yet. Qwen3.8 Flash has results on LiveBench coding, LiveBench research and LiveBench browser; Sakana Namazu has none yet. Compare them on price and context instead. Data as of October 23, 2026.