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.
72B4B
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.
128k256k
Benchmarks
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%59.5%
Overview
CompanyMoonshot AINVIDIA
Release dateJun 17 2025Oct 16 2026
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Kimi-Dev leads Nemotron Labs Dory 1.0 4B on 1 of the 1 benchmark they both report (SWE-Bench Verified). Kimi-Dev shipped 486 days before Nemotron Labs Dory 1.0 4B, so benchmark comparisons should account for the intervening progress.

Kimi-Dev has 72B parameters, while Nemotron Labs Dory 1.0 4B has 4B. Context windows are 128k (Kimi-Dev) vs 256k (Nemotron Labs Dory 1.0 4B).

On SWE-Bench Verified, Kimi-Dev leads at 60.4% vs Nemotron Labs Dory 1.0 4B at 59.5%.