Moonshot AI
1. Kimi-Dev-72B achieves 60. 4% performance on SWE-bench Verified. It surpasses the runner-up, setting a new state-of-the-art result among open-source models. 2. Kimi-Dev-72B is optimized via large-scale reinforcement learning.
Running this yourself: likely needs a high-memory cloud gpu.
It surpasses the runner-up, setting a new state-of-the-art result among open-source models.
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34.0
Quality Score
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Arena ELO
73B
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
15 of 22 public signals
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5.8K
Downloads
393
Likes
Jun 2025
Released
5/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
72B
Training compute
Not reported
Dataset scale
Not reported
Base model
Qwen2.5-72B
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
This section gives the plain-English basics first: what the model is, how large it is, how much context it can handle, and whether it is still actively supported.
This tells you how you can use the model in practice: whether weights are open, whether an API exists, and what kinds of input or output it supports.
Capabilities