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Ai2 · open-weights

Olmo 3

Olmo 3 is an open-weights language model from Ai2, released November 20, 2025. Its makers disclosed about 32B parameters.

A fully-open suite of 7B/32B language models, releasing the entire “model flow” (data, code, and checkpoints) and targeting long-context reasoning, tool use, coding, and chat.

Check it against your own PC →

Lab
Ai2
Released
November 20, 2025
Weights
Open
Parameters
32B disclosed
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run Olmo 3 locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Epoch AI has not published results for Olmo 3 yet. New models are usually evaluated within days to weeks.

Links

Announcement

More from Ai2

Olmo 3 7B Think · Olmo 3.1 32B Think

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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