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Kimi K2.7 Code TEE

Added Aug 15, 2026Open weights

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Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built for long-horizon software engineering workflows. It supports native image input, tool calling, and forced thinking mode while running inside a Trusted Execution Environment (TEE) with attestation support.

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

Pricing

USD per 1M tokens
Input
$0.95
Output
$4.00
Cache read
$0.19

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K
Average output (7 days)
1.1K tokens
Longer than 75% of 473 models

Side by side

Kimi K2.7 Code TEE 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 TEEMoonshotThis modelKimi K2.7 CodeMoonshotRemove
ProviderMoonshotMoonshot
Discovery tierOpen weightsOpen weights
AddedAug 15, 2026Jun 12, 2026
Limits
Context window262.14K262.14K
Max output65.54K65.54K
Average output1.1K tokens1.8K tokens
Pricing, USD per 1M tokens
Input$0.95$0.67Best
Output$4.00$3.35Best
Cache read$0.19$0.15Best
Performance
Throughput—72.0 tok/s
Time to first token—3.0 s
Request success (24h)—99.7%
Benchmark indexes
Intelligence Index25.825.8
Coding Index60.860.8
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Parallel toolsYesYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Kimi K2.7 Code TEE
  • Kimi K2.7 Code

Intelligence Index

  • Kimi K2.7 Code TEE25.8
  • Kimi K2.7 Code25.8

Kimi K2.7 Code TEE: 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 TEE: 60.8Top
    • Kimi K2.7 Code: 60.8Top

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Kimi K2.7 Code TEE: 24.5%Top
    • Kimi K2.7 Code: 24.5%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Kimi K2.7 Code TEE: 4.7%Top
    • Kimi K2.7 Code: 4.7%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Kimi K2.7 Code TEE: 858 EloTop
    • Kimi K2.7 Code: 858 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Kimi K2.7 Code TEE: 1,038 EloTop
    • Kimi K2.7 Code: 1,038 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Kimi K2.7 Code TEE: 11.2%Top
    • Kimi K2.7 Code: 11.2%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • Kimi K2.7 Code TEE: 79.3%Top
    • Kimi K2.7 Code: 79.3%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Kimi K2.7 Code TEE: 12.2%Top
    • Kimi K2.7 Code: 12.2%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Kimi K2.7 Code TEE: 35.0%Top
    • Kimi K2.7 Code: 35.0%Top

  • GPQA Diamond

    Graduate-level science questions

    • Kimi K2.7 Code TEE: 89.6%Top
    • Kimi K2.7 Code: 89.6%Top

  • IFBench

    Following precise output instructions

    • Kimi K2.7 Code TEE: 63.1%Top
    • Kimi K2.7 Code: 63.1%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Kimi K2.7 Code TEE: 1.0%Top
    • Kimi K2.7 Code: 1.0%Top

  • SciCode

    Scientific computing in Python

    • Kimi K2.7 Code TEE: 47.8%Top
    • Kimi K2.7 Code: 47.8%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Kimi K2.7 Code TEE: 44.7%Top
    • Kimi K2.7 Code: 44.7%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Kimi K2.7 Code TEE: 90.1%Top
    • Kimi K2.7 Code: 90.1%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Kimi K2.7 Code TEE: 79.3%Top
    • Kimi K2.7 Code: 79.3%Top

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

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": "TEE/kimi-k2.7-code",
    "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="TEE/kimi-k2.7-code",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Moonshot

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