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 |
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. | 32k | 128k |
| 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 | |
| Release date | Feb 8 2024 | Jun 17 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 UltravsClaude Haiku 5.5Kimi-DevvsClaude Haiku 5.5Gemini 1.0 UltravsGPT-6.1 SolKimi-DevvsGPT-6.1 SolGemini 1.0 UltravsMuse Spark OpenKimi-DevvsMuse Spark OpenGemini 1.0 UltravsGrok 4.7Kimi-DevvsGrok 4.7Gemini 1.0 UltravsDeepSeek-V4.1-Flash-1017Kimi-DevvsDeepSeek-V4.1-Flash-1017Gemini 1.0 UltravsMistral Large 4Kimi-DevvsMistral Large 4Frequently asked questions
Gemini 1.0 Ultra and Kimi-Dev don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Ultra shipped 495 days before Kimi-Dev, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Ultra) vs 128k (Kimi-Dev). Gemini 1.0 Ultra is closed, while Kimi-Dev is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Ultra and Kimi-Dev don't publish scores on any of the same benchmarks.