Kimi K2.7 Code vs GPT 5.4 Nano
moonshotai/kimi-k2.7-code · openai/gpt-5.4-nano
As of November 5, 2026, Kimi K2.7 Code is the cheaper API on UberLLM: $0.0048 per million input tokens and $0.0282 per million output, versus $0.0387 / $0.2419 for GPT 5.4 Nano, about 88% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Kimi K2.7 Code to cut cost; choose GPT 5.4 Nano when context size wins. GPT 5.4 Nano carries the larger context window (400,000 vs 262,144 tokens), which can matter for long-document work.
Kimi K2.7 Code vs GPT 5.4 Nano, side by side
| Spec | Kimi K2.7 Code | GPT 5.4 Nano |
|---|---|---|
| Price · input / 1M | $0.0048 | $0.0387 |
| Price · output / 1M | $0.0282 | $0.2419 |
| Context length | 262,144 | 400,000 |
| Max output tokens | 262,144 | 128,000 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99.2% off | 80.7% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Kimi K2.7 Code vs GPT 5.4 Nano — FAQ
Is Kimi K2.7 Code or GPT 5.4 Nano cheaper?
Kimi K2.7 Code is cheaper on a blended token mix, by about 88%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Kimi K2.7 Code and GPT 5.4 Nano?
Kimi K2.7 Code: $0.0048 in / $0.0282 out per 1M tokens. GPT 5.4 Nano: $0.0387 in / $0.2419 out per 1M tokens. That's roughly a 88% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2.7 Code and GPT 5.4 Nano with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.