Model detail
Kimi K2.5
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 visual and text tokens, it delivers strong performance in general reasoning, visual coding, and agentic tool-calling.
Model specs
- Model ID
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kimi-k2.5
- Context length
- 262.144K
- Max output
- 262.144K
- I/O modalities
- Released
- 2026-01
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$0.6000 /1M Tokens
Completion
$3.0000 /1M Tokens
Cache read
$0.1000 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Moonshot AI's native multimodal model, delivering state-of-the-art visual coding
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.
What should you check before using it?
262,144 context, 262,144 output tokens
Model type: text. Verify supported features and quotas with the provider documentation. Knowledge cutoff: 2025-01. Released 2026-01-27.
Why use it through MixRoute?
Kimi K2.5 runs tools and structured output here
Tool calling and structured output run on that route as well. MixRoute serves Kimi K2.5 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID kimi-k2.5 and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
Kimi K2.5 supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
Kimi K2.5 can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
Kimi K2.5 supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
Kimi K2.5 supports prompt caching under supported routing conditions.
Vision input
Kimi K2.5 can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call Kimi K2.5 through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
Kimi K2.5 returns up to 262,144 output tokens per request, within a 262,144-token context window. Cap the response with the max_tokens parameter so a single call cannot run past your budget.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.