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Kimi K2.6 TEE

Added Apr 21, 2026Open weights

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Use in the app

Kimi K2.6 is Moonshot AI's next-generation multimodal model designed for long-horizon coding and agentic orchestration. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

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

Pricing

USD per 1M tokens
Input
$1.50
Output
$5.25
Cache read
$0.38

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K
Average output (7 days)
3.1K tokens
Longer than 97% of 465 models

Side by side

Kimi K2.6 TEE compared

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

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Kimi K2.6 TEEMoonshotThis modelGrok Build 0.1xAIRemove
ProviderMoonshotxAI
Discovery tierOpen weightsBalanced
AddedApr 21, 2026May 20, 2026
Limits
Context window262.14KBest256K
Max output65.54K—
Average output3.1K tokens3K tokens
Pricing, USD per 1M tokens
Input$1.50$1.00Best
Output$5.25$2.00Best
Cache read$0.38$0.20Best
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index27.027.2Best
Coding Index61.8Best51.5
Capabilities
ReasoningNoYes
ToolsYesYes
VisionYesYes
Structured outputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Kimi K2.6 TEE
  • Grok Build 0.1

Intelligence Index

  • Kimi K2.6 TEE27.0
  • Grok Build 0.127.2

Kimi K2.6 TEE: Better than 68% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Kimi K2.6 TEE: 61.8Top
    • Grok Build 0.1: 51.5

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Kimi K2.6 TEE: 13.0%
    • Grok Build 0.1: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Kimi K2.6 TEE: 1.8%
    • Grok Build 0.1: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Kimi K2.6 TEE: 819 Elo
    • Grok Build 0.1: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Kimi K2.6 TEE: 1,038 Elo
    • Grok Build 0.1: 1,065 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Kimi K2.6 TEE: 13.0%
    • Grok Build 0.1: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Kimi K2.6 TEE: 81.0%Top
    • Grok Build 0.1: 74.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • Kimi K2.6 TEE: 11.1%
    • Grok Build 0.1: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Kimi K2.6 TEE: 37.5%
    • Grok Build 0.1: 38.3%Top

  • GPQA Diamond

    Graduate-level science questions

    • Kimi K2.6 TEE: 91.1%Top
    • Grok Build 0.1: 89.5%

  • IFBench

    Following precise output instructions

    • Kimi K2.6 TEE: 76.0%
    • Grok Build 0.1: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Kimi K2.6 TEE: 0.5%
    • Grok Build 0.1: —

  • SciCode

    Scientific computing in Python

    • Kimi K2.6 TEE: 51.5%
    • Grok Build 0.1: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Kimi K2.6 TEE: 43.9%
    • Grok Build 0.1: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Kimi K2.6 TEE: 95.9%
    • Grok Build 0.1: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Kimi K2.6 TEE: 81.0%Top
    • Grok Build 0.1: 74.7%

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.

Prompt cache hits
1.0%
About $1.49 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 33.3%
  • 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": "TEE/kimi-k2.6",
    "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-k2.6",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Moonshot

Other Moonshot models, starting with the same family.