Moonshot AI
Kimi K2.7 Code
Moonshot's Kimi K2.7 Code is a native multimodal coding model with 1T total and 32B active parameters and a 256K-token context. It accepts text, images and video; thinking is mandatory. Moonshot reports about 30% fewer thinking tokens than K2.6 on coding and agentic evaluations. Published weights use a modified MIT license, and the first-party API is OpenAI-compatible.
256K tokens
Multimodal
Max
- Provider
- Moonshot AI
- Context
- 256KCatalog · As of Aug 11, 2026Stale · 31d old
- yno subscription tier
- Max
- Released
- Jun 12, 2026
- Speed
- Medium
- Reasoning
- Expert
- Modality
- Multimodal
Benchmarks
Quality
- AA Intelligence Index
- AA Coding Index
- GPQA Diamond
- 89.6%Artificial Analysis · Date unknownAge unknown
Speed and latency
- Output speed
- 46.94tokens/sConfiguration: Prompt length: 1,000 · Parallel queries: 1Artificial Analysis · Date unknownAge unknown
- Time to first token
- 1.28sConfiguration: Prompt length: 1,000 · Parallel queries: 1Artificial Analysis · Date unknownAge unknown
- Time to first answer token
- 48.77sConfiguration: Prompt length: 1,000 · Parallel queries: 1Artificial Analysis · Date unknownAge unknown
API pricing
- API input cost
- API output cost
Benchmark variant: Kimi K2.7 Code
AA data retrieved Sep 11, 2026 · Artificial Analysis
Indexes use points; evaluations use accuracy percentages. API measurements do not measure yno application performance. Methodology
Capabilities
- Code
- Agentic Coding
- Vision
- Video
- Open Weights
- Debugging
Use cases
- Autonomous coding agents
- Long-horizon software engineering
- Self-hosted coding AI
- CI/CD automation
Strengths
- Published weights under modified MIT
- Native image and video input
- Mandatory thinking
- OpenAI-compatible API
Best for
Teams building coding agents that also inspect images and video
Use Kimi K2.7 Code in yno.ai
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Frequently asked
- What is Kimi K2.7 Code?
- Moonshot's Kimi K2.7 Code is a native multimodal coding model with 1T total and 32B active parameters and a 256K-token context. It accepts text, images and video; thinking is mandatory. Moonshot reports about 30% fewer thinking tokens than K2.6 on coding and agentic evaluations. Published weights use a modified MIT license, and the first-party API is OpenAI-compatible.
- How much does Kimi K2.7 Code cost in yno.ai?
- Kimi K2.7 Code is available on the Max tier of yno.ai.
- What can Kimi K2.7 Code do?
- Kimi K2.7 Code is best for Teams building coding agents that also inspect images and video. Its main capabilities include Code, Agentic Coding, Vision, Video, Open Weights, Debugging.
- How does Kimi K2.7 Code compare to other models?
- Kimi K2.7 Code excels at Published weights under modified MIT and is recommended for Autonomous coding agents, Long-horizon software engineering, Self-hosted coding AI, CI/CD automation. See related models below.
- How do I use Kimi K2.7 Code in yno.ai?
- Sign up for yno.ai, select Kimi K2.7 Code from the model picker, and start chatting.