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.
—4B
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.
200k256k
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.
72.5%59.5%
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better.
79.6%72.41%
Overview
CompanyAnthropicNVIDIA
Release dateMay 22 2025Oct 16 2026
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Claude Opus 4 leads Nemotron Labs Dory 1.0 4B on 2 of the 2 benchmarks they both report (SWE-Bench Verified, GPQA Diamond). Claude Opus 4 shipped 512 days before Nemotron Labs Dory 1.0 4B, so benchmark comparisons should account for the intervening progress.

Context windows are 200k (Claude Opus 4) vs 256k (Nemotron Labs Dory 1.0 4B). Claude Opus 4 is closed, while Nemotron Labs Dory 1.0 4B is open weight.

On SWE-Bench Verified, Claude Opus 4 leads at 72.5% vs Nemotron Labs Dory 1.0 4B at 59.5%. On GPQA Diamond, Claude Opus 4 leads at 79.6% vs Nemotron Labs Dory 1.0 4B at 72.41%.