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Kimi K2.7 Code High-Speed

Added Jun 15, 2026Open weights

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Use in the app

Kimi K2.7 Code High-Speed is the accelerated coding-focused variant tuned for fast agentic software engineering. It targets roughly 180 tokens per second, with short-context responses reaching up to about 260 tokens per second for rapid coding iterations.

  • Reasoning
  • Tools
  • Vision
  • Parallel tools
Input
Text, Images
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$1.90
Output
$8.00
Cache read
$0.32

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K
Average output (7 days)
491 tokens
Longer than 48% of 473 models

Side by side

Kimi K2.7 Code High-Speed compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Kimi K2.7 Code High-SpeedMoonshotThis modelGrok 4.20xAIRemove
ProviderMoonshotxAI
Discovery tierOpen weightsBalanced
AddedJun 15, 2026Mar 31, 2026
Limits
Context window262.14K2MBest
Max output65.54K131.07KBest
Average output491 tokens679 tokens
Pricing, USD per 1M tokens
Input$1.90$1.25Best
Output$8.00$2.50Best
Cache read$0.32$0.20Best
Performance
Throughput—108.7 tok/s
Time to first token—2.5 s
Request success (24h)99.5%99.8%Best
Benchmark indexes
Intelligence Index25.8Best25.7
Coding Index60.8—
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputNoYes
Parallel toolsYesNo
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Kimi K2.7 Code High-Speed
  • Grok 4.20

Intelligence Index

  • Kimi K2.7 Code High-Speed25.8
  • Grok 4.2025.7

Kimi K2.7 Code High-Speed: Better than 63% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Kimi K2.7 Code High-Speed: 60.8
    • Grok 4.20: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Kimi K2.7 Code High-Speed: 24.5%
    • Grok 4.20: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Kimi K2.7 Code High-Speed: 4.7%
    • Grok 4.20: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Kimi K2.7 Code High-Speed: 858 Elo
    • Grok 4.20: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Kimi K2.7 Code High-Speed: 1,038 Elo
    • Grok 4.20: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Kimi K2.7 Code High-Speed: 11.2%
    • Grok 4.20: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Kimi K2.7 Code High-Speed: 79.3%Top
    • Grok 4.20: 69.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • Kimi K2.7 Code High-Speed: 12.2%
    • Grok 4.20: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Kimi K2.7 Code High-Speed: 35.0%Top
    • Grok 4.20: 34.5%

  • GPQA Diamond

    Graduate-level science questions

    • Kimi K2.7 Code High-Speed: 89.6%
    • Grok 4.20: 91.1%Top

  • IFBench

    Following precise output instructions

    • Kimi K2.7 Code High-Speed: 63.1%
    • Grok 4.20: 81.2%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Kimi K2.7 Code High-Speed: 1.0%
    • Grok 4.20: —

  • SciCode

    Scientific computing in Python

    • Kimi K2.7 Code High-Speed: 47.8%
    • Grok 4.20: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Kimi K2.7 Code High-Speed: 44.7%Top
    • Grok 4.20: 37.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Kimi K2.7 Code High-Speed: 90.1%
    • Grok 4.20: 93.0%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Kimi K2.7 Code High-Speed: 79.3%Top
    • Grok 4.20: 69.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
99.5%
Reliable
Hourly request success · last 72 hoursLowest hour 88.8%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k2.7-code-highspeed",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="moonshotai/kimi-k2.7-code-highspeed",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Moonshot

Other Moonshot models, starting with the same family.