How does kimi-k2.7-code-highspeed compare with kimi-k2.7-code, and what should you compare?

kimi-k2.7-code-highspeed sits alongside kimi-k2.7-code , deepseek-v3 , gpt-5-codex in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

How does kimi-k2.7-code-highspeed score on benchmarks?

Recorded results for kimi-k2.7-code-highspeed: aa_intelligence_index 41.7; deepswe 39.9. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.

Can you call kimi-k2.7-code-highspeed with the OpenAI SDK you already use?

Yes. kimi-k2.7-code-highspeed is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to kimi-k2.7-code-highspeed . Keep your current request and response handling.

How are reasoning tokens billed on kimi-k2.7-code-highspeed?

Reasoning tokens are billed as output on kimi-k2.7-code-highspeed, at $8.00 per 1,000,000 token. They are generated before the visible answer and count toward both latency and spend, so a higher reasoning setting costs more even when the final answer is short.

Can you control the reasoning budget on kimi-k2.7-code-highspeed?

kimi-k2.7-code-highspeed is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.

Model detail

Kimi K2.7 Code HighSpeed

Provided by Moonshot

Pay-as-you-go

Moonshot AI coding model with the same underlying K2.7 Code model served at higher speed.

Model specs

Model ID: kimi-k2.7-code-highspeed

Context length: 262.144K
Max output: 262.144K
I/O modalities
Released: 2026-06

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$75.0000 /1M Tokens

Completion

$75.0000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Moonshot AI coding model with the same underlying K2.7 Code model served at higher

Moonshot AI coding model with the same underlying K2.7 Code model served at higher speed.

What should you check before using it?

262,144 context, 262,144 output tokens

kimi-k2.7-code-highspeed supports reasoning, tool calling, structured output, streaming, prompt caching, vision input and the OpenAI SDK. Knowledge cutoff: 2025-01. Released 2026-06.

Why use it through MixRoute?

kimi-k2.7-code-highspeed cache reads cut repeated-prompt cost

Cached prefixes are billed at 0.38 USD per 1M tokens instead of 1.90 USD, so repeated system prompts cost less. MixRoute serves kimi-k2.7-code-highspeed on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID kimi-k2.7-code-highspeed and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

kimi-k2.7-code-highspeed supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

kimi-k2.7-code-highspeed can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

kimi-k2.7-code-highspeed supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

kimi-k2.7-code-highspeed supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

kimi-k2.7-code-highspeed can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call kimi-k2.7-code-highspeed through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 262.144K

Output tokens Max per request 262.144K

Requests / month

Cache hit rate –

This model has no cache-read price; caching is not counted

FAQ

Before switching production traffic to kimi-k2.7-code-highspeed, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

kimi-k2.7-code-highspeed

Create an API key

New users get $5 in free credits

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.

Create an API key View integration docs