Providers and ModelsMoonshot AI

Kimi K2.7 Code

Kimi K2.7 Code
Moonshot AI · Text Generation
POST /v1/chat/completions

Kimi K2.7 Code is Moonshot’s trillion-parameter agentic coding model with 256K context, always-on reasoning, and text, image, and video inputs.

At a glance

FieldValue
Model idkimi-k2-7-code
Model release date2026-06-16
Input modalitiesText, Image, Video
Output modalitiesText
Context window256K
Weight precision-
Max output tokens131,072
RegionInternational
Featuresreasoning, function_calling, multimodal, agentic_coding, web_search
Native inferenceNo
NewNo
Structured outputJSON Schema
Supported endpointsPOST /v1/chat/completions, POST /v1/responses, POST /v1/messages, POST /v1beta/models/kimi-k2-7-code:generateContent
Alternate model idskimi-k2.7-code, moonshotai/kimi-k2.7-code

Pricing

ChargeSpecRate
Inputper 1M prompt tokens$0.95
Outputper 1M generated tokens$4.00
Web searchper call when invoked$0.015

Example request

$curl https://api.empiriolabs.ai/v1/chat/completions \
>  -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
>  -H 'Content-Type: application/json' \
>  -d '{"model": "kimi-k2-7-code", "messages": [{"role":"user","content":"Hello"}]}'

Parameters

ParameterTypeRequiredDefaultDescription
max_tokensnumberno16384Maximum output tokens. Reasoning tokens count toward this limit. · Range: 1 – 131072
stopstringno-Up to 4 strings where the model will stop generating further tokens.
tool_web_searchbooleannofalseSearch the web for real-time information. Adds $0.015 to the request cost for each invoked web search call.
response_formatenumno-Constrain the output to JSON. Use JSON mode for any valid JSON object, or JSON schema to force output that matches a schema you provide.

Notes

Supports text, image, and video inputs with 256K context, function calling, JSON mode structured output, and built-in web search at $0.015 per invoked call. Thinking is always on and cannot be disabled; reasoning tokens are billed as output tokens. Temperature and other sampling overrides are ignored because the model service uses fixed sampling settings. Multi-step function calling through the API must replay the assistant message with its reasoning_content field intact.

Per-tool billing (usage.tool_usage)

When this model invokes built-in tools inside a single request, the response carries a normalized usage.tool_usage map alongside the token counts. Tool counts are already factored into cost_usd and are surfaced for transparency.

Variants

:variant1

FieldValue
Model idkimi-k2-7-code:variant1
Model release date2026-06-16
RegionGermany
Context window256K
Weight precision-
Max output tokens16,384
Featuresreasoning, function_calling, multimodal, agentic_coding, cache, web_search
Native inferenceNo
Structured outputNot supported
Supported endpointsPOST /v1/chat/completions, POST /v1/responses, POST /v1/messages, POST /v1beta/models/kimi-k2-7-code:variant1:generateContent

Pricing

ChargeSpecRate
Inputper 1M prompt tokens$0.8939 (was $0.95)
Outputper 1M generated tokens$3.7131 (was $4.00)
Implicit cache readper 1M cached input tokens$0.1788
Web Search (Linkup)per call when invoked$0.013

Parameters

ParameterTypeRequiredDefaultDescription
max_tokensnumberno16384Maximum output tokens. Reasoning tokens count toward this limit. · Range: 1 – 16384
stopstringno-Up to 4 strings where the model will stop generating further tokens.
response_formatobjectno-OpenAI-compatible JSON mode or JSON schema response format.
web_search_linkupbooleannofalseOptional web search powered by Linkup. When enabled, recent web sources are retrieved using your latest user message as the query and provided to the model as additional context. Adds $0.013 per call when invoked on top of the model’s normal token cost. Disabled by default.
disable_formattingbooleannofalseWhen enabled, the gateway will not append the “Sources” footer to assistant responses that used Linkup web search. Useful when the model output is piped to another system that expects no decoration.

Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/kimi-k2-7-code.