Moonshot: Kimi K2.7 Code High-Speed
kimi-k2.7-code-highspeed
Kimi K2.7 Code High-Speed is the accelerated coding-focused variant tuned for fast agentic software engineering. It targets roughly 180 tokens per second, with short-context responses reaching up to about 260 tokens per second for rapid coding iterations.
Modalities
Text + Image → Text
Input / output price
$2.47 / $10.40 per 1M
Context
262K · max output 66K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $2.47 |
| Output | $10.40 |
| Cached input | $0.416 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.0157
- Per day
- $7.87
- Per month (30 days)
- $235.95
Kimi K2.7 Code High-Speed: input $2.47/M · output $10.4/M · cached input $0.416/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "kimi-k2.7-code-highspeed", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to kimi-k2.7-code-highspeed.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.7-code-highspeed",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is Kimi K2.7 Code High-Speed billed?
- Input is $2.47 and output is $10.40 per million tokens; cached input is $0.416. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 262K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add
"stream": trueto the request to receive server-sent events in the OpenAI format.