Skip to content
← Models
Open weightsAi2/10 trustMetrics-checked

OLMo 3 7B

Fully open 7B LLM: weights, data, code, and checkpoints from Ai2.

Visit official page →

About

OLMo 3 7B is the Allen Institute of AI's November 2025 entry in the only major model family that ships truly fully open: weights, training data, code, recipes, and per-phase checkpoints. The 7B dense model carries a 65K context window (16x Olmo 2's), with Base, Think (reasoning), and Instruct variants under Apache 2.0. Ai2's Think 7B claims best-in-class status among 7B Western instruct and thinking models, and the Instruct variant competes with Qwen 2.5, Gemma 3, and Llama 3.1 at the same scale.

The honest picture: full openness comes with frontier-lab-budget trade-offs — OLMo 3-Think 32B narrows but doesn't close the gap to the best open-weight 32B models, trained on far more tokens. The 7B size caps raw capability versus larger open models, so it's a research and customization vehicle more than a turnkey answer engine. Production deployments still need their own evaluation and safety layers, as Ai2 itself warns.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

November 20, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

researchopen-source-llmfine-tuningreasoning

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 46; Trending score 66/100 from researcher assessment.

More in the olmo family

Sources