Which is cheaper, Kimi K2-Thinking-0905 or Sakana Namazu?
As of August 20, 2026, Kimi K2-Thinking-0905 is 50% cheaper on blended LLM API pricing. Kimi K2-Thinking-0905 costs $0.47 per million input tokens and $2.00 per million output tokens ($2.47 blended 1M-in + 1M-out). Sakana Namazu costs $0.95 / $4.00 per million tokens ($4.95 blended). Sources: https://platform.kimi.com/docs/pricing/chat and https://sakana.ai. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Kimi K2-Thinking-0905 vs Sakana Namazu cost per million tokens?
Kimi K2-Thinking-0905 Moonshot AI API pricing is $0.47 input and $2.00 output per million tokens via Moonshot AI. Sakana Namazu Sakana AI API pricing is $0.95 input and $4.00 output per million tokens via Sakana AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Kimi K2-Thinking-0905 or Sakana Namazu?
Kimi K2-Thinking-0905 has a published SWE-bench Verified score of 71.3%. Sakana Namazu does not have that eval on this page yet.
What is the context window for Kimi K2-Thinking-0905 vs Sakana Namazu?
Kimi K2-Thinking-0905 supports a 262K token context window, while Sakana Namazu supports 256K tokens. Kimi K2-Thinking-0905 offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Kimi K2-Thinking-0905 or Sakana Namazu?
Sakana Namazu leads on 2 of 2 shared benchmarks versus Kimi K2-Thinking-0905's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Kimi K2-Thinking-0905 or Sakana Namazu better for production use?
Both Kimi K2-Thinking-0905 and Sakana Namazu are production API models. For cost-sensitive production traffic, Kimi K2-Thinking-0905 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Kimi K2-Thinking-0905 and Sakana Namazu in my app?
Yes. Call Kimi K2-Thinking-0905 through Moonshot AI and Sakana Namazu through Sakana AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Kimi K2-Thinking-0905 vs Sakana Namazu pricing data?
List rates are the latest published Moonshot AI API pricing and Sakana AI API pricing, quoted per million tokens. Official rate sheets: https://platform.kimi.com/docs/pricing/chat and https://sakana.ai. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Kimi K2-Thinking-0905 and Sakana Namazu?
Kimi K2-Thinking-0905 supports up to 262K output tokens per request, while Sakana Namazu supports up to 256K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Kimi K2-Thinking-0905 or Sakana Namazu?
Neither Kimi K2-Thinking-0905 nor Sakana Namazu has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Kimi K2-Thinking-0905 vs Sakana Namazu comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Kimi K2-Thinking-0905 or Sakana Namazu from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
