Moonshot · Open weights
Kimi K2.7 Code High-Speed
Kimi K2.7 Code High-Speed is the accelerated coding-focused variant tuned for fast agentic software engineering. It targets roughly 180 tokens per second, with short-context responses reaching up to about 260 tokens per second for rapid coding iterations.
- Reasoning
- Tools
- Vision
- Parallel tools
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $1.90
- Output
- $8.00
- Cache read
- $0.32
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 65.5K
- Average output (7 days)
- 491 tokens
- Longer than 48% of 473 models
Side by side
Kimi K2.7 Code High-Speed compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Kimi K2.7 Code High-SpeedMoonshotThis model | Kimi K2.7 Code TEEMoonshotRemove | |
|---|---|---|
| Provider | Moonshot | Moonshot |
| Discovery tier | Open weights | Open weights |
| Added | Jun 15, 2026 | Aug 15, 2026 |
| Limits | ||
| Context window | 262.14K | 262.14K |
| Max output | 65.54K | 65.54K |
| Average output | 491 tokens | 1.1K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.90 | $0.95Best |
| Output | $8.00 | $4.00Best |
| Cache read | $0.32 | $0.19Best |
| Performance | ||
| Request success (24h) | 99.5% | — |
| Benchmark indexes | ||
| Intelligence Index | 25.8 | 25.8 |
| Coding Index | 60.8 | 60.8 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Parallel tools | Yes | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Kimi K2.7 Code High-Speed
- Kimi K2.7 Code TEE
Intelligence Index
- Kimi K2.7 Code High-Speed25.8
- Kimi K2.7 Code TEE25.8
Kimi K2.7 Code High-Speed: Better than 63% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Kimi K2.7 Code High-Speed: 60.8Top
- Kimi K2.7 Code TEE: 60.8Top
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Kimi K2.7 Code High-Speed: 24.5%Top
- Kimi K2.7 Code TEE: 24.5%Top
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Kimi K2.7 Code High-Speed: 4.7%Top
- Kimi K2.7 Code TEE: 4.7%Top
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Kimi K2.7 Code High-Speed: 858 EloTop
- Kimi K2.7 Code TEE: 858 EloTop
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Kimi K2.7 Code High-Speed: 1,038 EloTop
- Kimi K2.7 Code TEE: 1,038 EloTop
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Kimi K2.7 Code High-Speed: 11.2%Top
- Kimi K2.7 Code TEE: 11.2%Top
AA-LCRv1.1
Reasoning across long documents
- Kimi K2.7 Code High-Speed: 79.3%Top
- Kimi K2.7 Code TEE: 79.3%Top
MLCR-AA
Long-context reasoning over medical records
- Kimi K2.7 Code High-Speed: 12.2%Top
- Kimi K2.7 Code TEE: 12.2%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Kimi K2.7 Code High-Speed: 35.0%Top
- Kimi K2.7 Code TEE: 35.0%Top
GPQA Diamond
Graduate-level science questions
- Kimi K2.7 Code High-Speed: 89.6%Top
- Kimi K2.7 Code TEE: 89.6%Top
IFBench
Following precise output instructions
- Kimi K2.7 Code High-Speed: 63.1%Top
- Kimi K2.7 Code TEE: 63.1%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Kimi K2.7 Code High-Speed: 1.0%Top
- Kimi K2.7 Code TEE: 1.0%Top
SciCode
Scientific computing in Python
- Kimi K2.7 Code High-Speed: 47.8%Top
- Kimi K2.7 Code TEE: 47.8%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Kimi K2.7 Code High-Speed: 44.7%Top
- Kimi K2.7 Code TEE: 44.7%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- Kimi K2.7 Code High-Speed: 90.1%Top
- Kimi K2.7 Code TEE: 90.1%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Kimi K2.7 Code High-Speed: 79.3%Top
- Kimi K2.7 Code TEE: 79.3%Top
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
- 0.0%
- About $1.90 per 1M input tokens with caching
- Request success (24h)
- 99.5%
- 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.
- 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.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2.7-code-highspeed",
"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-k2.7-code-highspeed",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Moonshot
Related models
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