Model comparison

GPT-4.1 Nano vs Kimi K2.7 Code

Pricing, context window and real answers (September 2026)

GPT-4.1 Nano (OpenAI) and Kimi K2.7 Code (Moonshot), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.

Specs and pricing

openai logoGPT-4.1 Nanomoonshotai logoKimi K2.7 Code
ProviderOpenAIMoonshot
Input (per 1M tokens)¥17.87¥55
Output (per 1M tokens)¥71.48¥530
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥54¥320
Context window1,047,576 tokens262,144 tokens
Release date4/14/20256/12/2026
Input modalitiesimage, text, filetext, image
Throughput (p50)
Arena · overall#243 · ELO 1,322Unranked
Arena · Japanese#195 · ELO 1,234Unranked
Arena · coding#226 · ELO 1,374Unranked

Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.

Which should you pick?

  • On price, GPT-4.1 Nano: ¥71.48 per 1M output tokens, 87% less than Kimi K2.7 Code.
  • For long documents, GPT-4.1 Nano: a 1,047,576-token context window against 262,144 for Kimi K2.7 Code.
  • If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.

Frequently asked questions

Which is cheaper, GPT-4.1 Nano or Kimi K2.7 Code?
Per 1M output tokens, GPT-4.1 Nano is ¥71.48 and Kimi K2.7 Code is ¥530 on FastMetal (yen, before tax), so GPT-4.1 Nano is cheaper.
How do the context windows of GPT-4.1 Nano and Kimi K2.7 Code compare?
GPT-4.1 Nano takes 1,047,576 tokens; Kimi K2.7 Code takes 262,144.
Can I use GPT-4.1 Nano and Kimi K2.7 Code with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-4.1-nano" or "japan-kimi-k2.7-code" as the model. Each is billed at its own rate from the same prepaid balance.

Try both on one API key

Create an account and add credit to call GPT-4.1 Nano and Kimi K2.7 Code from the browser chat and the API. No monthly fee.

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