Which is cheaper, Qwen2.5-Coder 32B Instruct or Sakana Namazu?
As of August 20, 2026, Qwen2.5-Coder 32B Instruct is 96% cheaper on blended LLM API pricing. Qwen2.5-Coder 32B Instruct costs $0.09 per million input tokens and $0.09 per million output tokens ($0.18 blended 1M-in + 1M-out). Sakana Namazu costs $0.95 / $4.00 per million tokens ($4.95 blended). Sources: https://bailian.console.aliyun.com/ and https://sakana.ai. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Qwen2.5-Coder 32B Instruct vs Sakana Namazu cost per million tokens?
Qwen2.5-Coder 32B Instruct Qwen API pricing is $0.09 input and $0.09 output per million tokens via Qwen. 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, Qwen2.5-Coder 32B Instruct or Sakana Namazu?
Qwen2.5-Coder 32B Instruct has a published SWE-bench Verified score of 9%. Sakana Namazu does not have that eval on this page yet.
What is the context window for Qwen2.5-Coder 32B Instruct vs Sakana Namazu?
Qwen2.5-Coder 32B Instruct supports a 128K token context window, while Sakana Namazu supports 256K tokens. Sakana Namazu 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, Qwen2.5-Coder 32B Instruct or Sakana Namazu?
Sakana Namazu leads on 1 of 1 shared benchmarks versus Qwen2.5-Coder 32B Instruct'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 Qwen2.5-Coder 32B Instruct or Sakana Namazu better for production use?
Both Qwen2.5-Coder 32B Instruct and Sakana Namazu are production API models. For cost-sensitive production traffic, Qwen2.5-Coder 32B Instruct 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 Qwen2.5-Coder 32B Instruct and Sakana Namazu in my app?
Yes. Call Qwen2.5-Coder 32B Instruct through Qwen 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 Qwen2.5-Coder 32B Instruct vs Sakana Namazu pricing data?
List rates are the latest published Qwen API pricing and Sakana AI API pricing, quoted per million tokens. Official rate sheets: https://bailian.console.aliyun.com/ 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 Qwen2.5-Coder 32B Instruct and Sakana Namazu?
Qwen2.5-Coder 32B Instruct supports up to 128K 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, Qwen2.5-Coder 32B Instruct or Sakana Namazu?
Qwen2.5-Coder 32B Instruct has a measured throughput of approximately 42 tokens/second. Throughput data for Sakana Namazu is not yet available. 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 Qwen2.5-Coder 32B Instruct 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 Qwen2.5-Coder 32B Instruct 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.
