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. | 200k | 256k |
| 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. | 62.3% | 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. | 78.2% | 72.41% |
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 49% | — |
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | — | 18.1% |
IFBenchInstruction following — Tests whether the AI can follow detailed instructions and satisfy multiple constraints at once. Higher is better. | — | 77.94% |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 75% | — |
| Overview | ||
| Company | Anthropic | NVIDIA |
| Release date | Feb 24 2025 | Oct 16 2026 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3.7 SonnetvsGPT-6.1 TerraNemotron Labs Dory 1.0 4BvsGPT-6.1 TerraClaude 3.7 SonnetvsGemini 4 CarbonNemotron Labs Dory 1.0 4BvsGemini 4 CarbonClaude 3.7 SonnetvsMuse EmberNemotron Labs Dory 1.0 4BvsMuse EmberClaude 3.7 SonnetvsGrok 4.7Nemotron Labs Dory 1.0 4BvsGrok 4.7Claude 3.7 SonnetvsDeepSeek-V4.1-Flash-1017Nemotron Labs Dory 1.0 4BvsDeepSeek-V4.1-Flash-1017Claude 3.7 SonnetvsMistral Large 4Nemotron Labs Dory 1.0 4BvsMistral Large 4Frequently asked questions
Claude 3.7 Sonnet leads Nemotron Labs Dory 1.0 4B on 2 of the 2 benchmarks they both report (SWE-Bench Verified, GPQA Diamond). Claude 3.7 Sonnet shipped 599 days before Nemotron Labs Dory 1.0 4B, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3.7 Sonnet) vs 256k (Nemotron Labs Dory 1.0 4B). Claude 3.7 Sonnet is closed, while Nemotron Labs Dory 1.0 4B is open weight.
On SWE-Bench Verified, Claude 3.7 Sonnet leads at 62.3% vs Nemotron Labs Dory 1.0 4B at 59.5%. On GPQA Diamond, Claude 3.7 Sonnet leads at 78.2% vs Nemotron Labs Dory 1.0 4B at 72.41%.