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Model details
Kimi K2 Instruct
Kimi K2 Instruct sits within Moonshot AI's K2 family, branded as "Open Agentic Intelligence" and distributed through the kimi.com product, the Moonshot AI homepage, and the public Kimi-K2 GitHub repository. The 0905 revision is positioned as a successor to the original Kimi-K2-Instruct card on Hugging Face, indicating an actively maintained release line rather than a one-off checkpoint. A Fireworks AI deep-dive outlines the model family around an Instruct variant intended for direct instruction-following deployment, separate from base or further-tuned siblings.
Independent commentary characterizes Kimi K2 as a model aimed at real-world software engineering and autonomous tool use, with a reported 65.8% score on the SWE-Bench Verified benchmark, outperforming GPT-4.1's 54.6% and competing with leading closed-source systems on long-range reasoning tasks. That same analysis frames the model as best suited to experienced engineering teams who can customize behavior, wire up tool chains, and tune workflows around its agentic strengths. Practically, it fits developer-assistant and multi-step automation scenarios where structured tool calling, temperature control, and stable instruction following matter more than open-ended chat.
Quick Info
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- IO.NET
- Model key
- moonshotai/Kimi-K2-Instruct-0905
- Release date
- Sep 5, 2024
- Last updated
- Sep 5, 2024
- Knowledge cutoff
- 2024-08
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.39
- Output token cost
- $1.90
Limits
- Output tokens
- 4,096 tokens
- Context window
- 32,768 tokens
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