by Allen Institute for AI (AI2)

AllenAI: Olmo 3 32B Think.

text open weights workstation 32B params 66K ctx
Cheapest input
$0.15/M
on OpenRouter
Cheapest output
$0.5/M
on OpenRouter
Smallest GPU
1× Nvidia RTX 4000 Ada SFF
$0.17/hr

Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding eval

Smallest GPU to run it See all quantisations →

1× Nvidia RTX 4000 Ada SFF · $0.17/hr.

Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
OpenRouter api aggregator $0.15 $0.5 Launch ↗
FAQ

Frequently asked.

How do I run AllenAI: Olmo 3 32B Think?
AllenAI: Olmo 3 32B Think is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access AllenAI: Olmo 3 32B Think?
AllenAI: Olmo 3 32B Think is available via OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run AllenAI: Olmo 3 32B Think?
API pricing starts at $0.15/M input tokens and $0.5/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is AllenAI: Olmo 3 32B Think open-source or proprietary?
AllenAI: Olmo 3 32B Think is open-weight under the license. You can download and self-host it.