Moonshot: Kimi K2.5 Thinking
kimi-k2.5:thinking
Kimi K2.5 Thinking costs $0.815 per million input tokens and $4.18 per million output tokens, supports 262K context, and is available through the OpenAI-compatible API.
Kimi K2.5 with thinking mode enabled. Built on Kimi K2 with ~15T mixed visual and text tokens, it excels at general reasoning, visual coding, and agentic tool-calling. Produces reasoning traces for complex multi-step workflows.
Modalities
Text + Image → Text
Input / output price
$0.815 / $4.18 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 | $0.815 |
| Output | $4.18 |
| Cached input | $0.137 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00579
- Per day
- $2.90
- Per month (30 days)
- $86.86
Kimi K2.5 Thinking: input $0.8145/M · output $4.1843/M · cached input $0.1369/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "kimi-k2.5:thinking", "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-k2.5:thinking.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.5:thinking",
"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 K2.5 Thinking billed?
- Input is $0.815 and output is $4.18 per million tokens; cached input is $0.137. 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": true to the request to receive server-sent events in the OpenAI format.