OLMo 2 32B
Unavailable in this round
Allen Institute
OLMo 2 32B is the largest family member in Allen AI’s OLMo 2 release. Its model card describes 6 trillion training tokens, 32 billion parameters, and the same deliberately short 4,096-token context as OLMo 2 13B. Transparency is part of the release. Training data, code, checkpoints, and methods remain available for research and inspection.
The 0325 release is its own training point, not merely an older 13B model expanded to 32B. The larger weight set adds local capacity but keeps the 4,096-token context. OLMo 2 32B is a research checkpoint, not a chat variant.
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Unavailable in this round
29.9 / 100
| Type | Evidence and data date |
|---|---|
| Input | Documented modalities. |
| Output | Documented modalities. |
| Additional source | OLMo 2 technical report · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |