NOUMENOpen app
NOUMEN

Moonshot · Open weights

Kimi K2 0711

Added Jan 1, 2024Open weights

Compare models

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

Loading models…

Use in the app

Kimi K2 0711 version. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

  • Tools
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.40
Output
$1.80

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
8.2K
Average output (7 days)
735 tokens
Longer than 63% of 465 models

Side by side

Kimi K2 0711 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 0711MoonshotThis modelGLM 4.5Z.aiRemove
ProviderMoonshotZ.ai
Discovery tierOpen weightsOpen weights
AddedJan 1, 2024Apr 15, 2025
Limits
Context window128K128K
Max output8.19K65.54KBest
Average output735 tokens696 tokens
Pricing, USD per 1M tokens
Input$0.40$0.30Best
Output$1.80$1.30Best
Performance
Throughput—299.1 tok/s
Time to first token—8.4 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index12.712.8Best
Math Index57.073.7Best
Capabilities
ToolsYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • Kimi K2 0711
  • GLM 4.5

Intelligence Index

  • Kimi K2 071112.7
  • GLM 4.512.8

Kimi K2 0711: Better than 28% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Kimi K2 0711: 57.0
    • GLM 4.5: 73.7Top

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Kimi K2 0711: 53.0%Top
    • GLM 4.5: 52.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Kimi K2 0711: 7.4%
    • GLM 4.5: 13.0%Top

  • GPQA Diamond

    Graduate-level science questions

    • Kimi K2 0711: 76.6%
    • GLM 4.5: 78.2%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Kimi K2 0711: 82.4%
    • GLM 4.5: 83.5%Top

  • IFBench

    Following precise output instructions

    • Kimi K2 0711: 41.5%
    • GLM 4.5: 44.1%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Kimi K2 0711: 55.6%
    • GLM 4.5: 73.8%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Kimi K2 0711: 57.0%
    • GLM 4.5: 73.7%Top

  • AIME

    Competition mathematics

    • Kimi K2 0711: 69.3%
    • GLM 4.5: 87.3%Top

  • MATH-500

    Competition math problems

    • Kimi K2 0711: 97.1%
    • GLM 4.5: 97.9%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Kimi K2 0711: 15.9%
    • GLM 4.5: 22.0%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Kimi K2 0711: 61.1%Top
    • GLM 4.5: 43.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Kimi K2 0711: 53.0%Top
    • GLM 4.5: 52.7%

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": "moonshotai/kimi-k2-instruct-0711",
    "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-instruct-0711",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Moonshot

Other Moonshot models, starting with the same family.