Sakana: Sakana Namazu API Pricing
Sakana: Sakana Namazu costs $0.950 per 1M input tokens and $4.00 per 1M output tokens (cache reads: $0.150). Context window: 262K. Prices verified 2026-10-21 · source
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
From our own daily snapshot archive — independent of provider announcements.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.950 | — |
| Cache read | $0.150 | −84% |
| Output | $4.00 | — |
| Web search tool | $7/1k searches | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
What would Sakana: Sakana Namazu cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $23.60 |
| Coding agent | 5,000 | 8,000 / 2,000 | $78.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $174.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $46.00 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Sakana: Sakana Namazu
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...
Compare Sakana: Sakana Namazu with
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Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does Sakana: Sakana Namazu cost?
Sakana: Sakana Namazu costs $0.950 per 1M input tokens and $4.00 per 1M output tokens; cached input tokens cost $0.150 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
262K tokens, with up to 66K output tokens per response. That's roughly 328 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.150/1M, about 84% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 98% on a typical workload with comparable quality.
Official resources
- Sakana: Sakana Namazu on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Shred your current bill — paste a CSV and see if switching saves money.