Moonshot · Open weights
Kimi K2 0711
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.
| Kimi K2 0711MoonshotThis model | GPT 4.1OpenAIRemove | |
|---|---|---|
| Provider | Moonshot | OpenAI |
| Discovery tier | Open weights | Frontier |
| Added | Jan 1, 2024 | Sep 10, 2025 |
| Limits | ||
| Context window | 128K | 1.05MBest |
| Max output | 8.19K | 32.77KBest |
| Average output | 735 tokens | 29 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.40Best | $2.00 |
| Output | $1.80Best | $8.00 |
| Cache read | — | $0.50 |
| Performance | ||
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 12.7 | 12.7 |
| Math Index | 57.0Best | 34.7 |
| Capabilities | ||
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| PDF input | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Kimi K2 0711
- GPT 4.1
Intelligence Index
- Kimi K2 071112.7
- GPT 4.112.7
Kimi K2 0711: Better than 28% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Kimi K2 0711: 57.0Top
- GPT 4.1: 34.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Kimi K2 0711: 53.0%
- GPT 4.1: 68.3%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Kimi K2 0711: 7.4%Top
- GPT 4.1: 4.2%
GPQA Diamond
Graduate-level science questions
- Kimi K2 0711: 76.6%Top
- GPT 4.1: 66.6%
MMLU-Pro
Multi-subject knowledge and reasoning
- Kimi K2 0711: 82.4%Top
- GPT 4.1: 80.6%
IFBench
Following precise output instructions
- Kimi K2 0711: 41.5%
- GPT 4.1: 43.0%Top
Coding
LiveCodeBench
Recent competitive programming problems
- Kimi K2 0711: 55.6%Top
- GPT 4.1: 45.7%
Math
AIME 2025
Competition mathematics, 2025 problems
- Kimi K2 0711: 57.0%Top
- GPT 4.1: 34.7%
AIME
Competition mathematics
- Kimi K2 0711: 69.3%Top
- GPT 4.1: 43.7%
MATH-500
Competition math problems
- Kimi K2 0711: 97.1%Top
- GPT 4.1: 91.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Kimi K2 0711: 15.9%Top
- GPT 4.1: 13.6%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Kimi K2 0711: 61.1%Top
- GPT 4.1: 47.1%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Kimi K2 0711: 53.0%
- GPT 4.1: 68.3%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Kimi K2 0711
- GPT 4.1
| Leaderboard | Kimi K2 0711 | GPT 4.1 |
|---|---|---|
| Vision Style Control · Creative Writing | Not in top 20 | #7 · 1233.7 |
| Vision Style Control · Captioning | Not in top 20 | #9 · 1209.9 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- Kimi K2 0711
- GPT 4.1
| Leaderboard | Kimi K2 0711 | GPT 4.1 |
|---|---|---|
| SWE-bench Verified | Not in top 20 | #13 · 48.5% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
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
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