NOUMENOpen app
NOUMEN

Moonshot · Open weights

Kimi K2.7 Code TEE

Added Aug 15, 2026Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

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.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Kimi K2.7 Code TEEMoonshotThis modelMiMo V2.5 Pro ThinkingxiaomiRemove
ProviderMoonshotxiaomi
Discovery tierOpen weightsOpen weights
AddedAug 15, 2026Jun 3, 2026
Limits
Context window262.14K1.05MBest
Max output65.54K131.07KBest
Average output1.1K tokens1.4K tokens
Pricing, USD per 1M tokens
Input$0.95$0.44Best
Output$4.00$0.87Best
Cache read$0.19$0.0036Best
Cache write—$0.00
Performance
Throughput—26.6 tok/s
Time to first token—3.8 s
Request success (24h)—99.9%
Benchmark indexes
Intelligence Index25.826.0Best
Coding Index60.8Best60.2
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
Structured outputNoYes
Parallel toolsYesNo
Reasoning effort—none, high

Public evaluations

Benchmarks

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

  • Kimi K2.7 Code TEE
  • MiMo V2.5 Pro Thinking

Intelligence Index

  • Kimi K2.7 Code TEE25.8
  • MiMo V2.5 Pro Thinking26.0

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
    • MiMo V2.5 Pro Thinking: 60.2

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Kimi K2.7 Code TEE: 24.5%Top
    • MiMo V2.5 Pro Thinking: 13.7%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Kimi K2.7 Code TEE: 4.7%Top
    • MiMo V2.5 Pro Thinking: 2.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Kimi K2.7 Code TEE: 858 Elo
    • MiMo V2.5 Pro Thinking: 883 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Kimi K2.7 Code TEE: 1,038 Elo
    • MiMo V2.5 Pro Thinking: 1,121 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Kimi K2.7 Code TEE: 11.2%Top
    • MiMo V2.5 Pro Thinking: 4.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Kimi K2.7 Code TEE: 79.3%
    • MiMo V2.5 Pro Thinking: 79.7%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Kimi K2.7 Code TEE: 12.2%Top
    • MiMo V2.5 Pro Thinking: 5.6%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Kimi K2.7 Code TEE: 35.0%
    • MiMo V2.5 Pro Thinking: 35.7%Top

  • GPQA Diamond

    Graduate-level science questions

    • Kimi K2.7 Code TEE: 89.6%Top
    • MiMo V2.5 Pro Thinking: 86.6%

  • IFBench

    Following precise output instructions

    • Kimi K2.7 Code TEE: 63.1%
    • MiMo V2.5 Pro Thinking: 79.9%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Kimi K2.7 Code TEE: 1.0%Top
    • MiMo V2.5 Pro Thinking: 0.0%

  • SciCode

    Scientific computing in Python

    • Kimi K2.7 Code TEE: 47.8%
    • MiMo V2.5 Pro Thinking: 50.6%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Kimi K2.7 Code TEE: 44.7%Top
    • MiMo V2.5 Pro Thinking: 43.2%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Kimi K2.7 Code TEE: 90.1%
    • MiMo V2.5 Pro Thinking: 94.2%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Kimi K2.7 Code TEE: 79.3%
    • MiMo V2.5 Pro Thinking: 79.7%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

Other Moonshot models, starting with the same family.