Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 72B | 6B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 2k |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 60.4% | — |
| Overview | ||
| Company | Moonshot AI | Z.ai |
| Release date | Jun 17 2025 | Mar 14 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
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Kimi-Dev and ChatGLM-6B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. ChatGLM-6B shipped 826 days before Kimi-Dev, so benchmark comparisons should account for the intervening progress.
Kimi-Dev has 72B parameters, while ChatGLM-6B has 6B. Context windows are 128k (Kimi-Dev) vs 2k (ChatGLM-6B).
Direct benchmark comparisons are unavailable — Kimi-Dev and ChatGLM-6B don't publish scores on any of the same benchmarks.