Kimi K2.5
Moonshot AIReleased Jan 27, 2026
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
- Context window
- 262K tokens
- Input
- text, image
- Output
- text
- Tokenizer
- Other
- Released
- Jan 27, 2026
- Reasoning
- optional
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.375 | $0.011 | $0.386 |
| Output | $2.02 | $0.061 | $2.09 |
Benchmarks
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| androidnativeagents | 1132 | 57.8% | #17 |
| Full-stackagents | 1182 | 54.2% | #14 |
| godotgamedevagents | 1254 | 59.5% | #2 |
| Mobile appsagents | 1186 | 49.3% | #20 |
| Web appsagents | 1194 | 50.3% | #15 |
| 3Dmodels | 1286 | 54% | #22 |
| ASCII artmodels | 1214 | 47% | #17 |
| Codemodels | 1286 | 54.7% | #20 |
| Data vizmodels | 1270 | 52.9% | #21 |
| Game devmodels | 1272 | 53.7% | #23 |
| SVGmodels | 1210 | 50.2% | #25 |
| UI componentsmodels | 1290 | 54.2% | #19 |
| Websitesmodels | 1291 | 55.9% | #16 |
Head-to-head preference voting. How we filter and rank
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model moonshotai/kimi-k2.5.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2.5",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="moonshotai/kimi-k2.5",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "moonshotai/kimi-k2.5",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does Kimi K2.5 cost via API?
- Through OpenKey, Kimi K2.5 costs $0.386 per 1M input tokens and $2.09 per 1M output tokens. That is the provider price ($0.375 / $2.02) plus a flat 3% fee — nothing else.
- What is Kimi K2.5's context window?
- Kimi K2.5 accepts up to 262K tokens of context.
- Is Kimi K2.5 OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "moonshotai/kimi-k2.5" using any OpenAI SDK — only the base URL and API key change.
- What inputs does Kimi K2.5 support?
- Kimi K2.5 accepts text, image input and produces text output.
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