LLM Reference

OLMo 3 32B Think

Released
2026-03-01
Last refreshed
2026-04-27
Status
Researched 135d ago
Open sourceCommercial use: permittedCodingClassification

OLMo 3 32B Think is a released coding and classification model with open-source; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating coding and classification
  • Workloads that can use a 64k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
OLMo
Released
2026-03-01
Context
64k
Parameters
32B
Architecture
Decoder Only
Knowledge cutoff
2024-12
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

Advocating for open science and source

Seattle, Washington, United States
Founded 2014
Website
Pricing

No tracked provider token pricing is available yet.

About

OLMo 3 32B Think is Allen Institute for AI's reasoning-focused model with extended thinking chains for complex logic problems and multi-step reasoning.

Top use-case fit: coding, agents, and build tasks

Coding

2 relevant benchmarks in the decision map.

Classification

1 relevant benchmark in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

Reasoning

Benchmark peer barsfor Coding

Benchmark scores(7)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
AIME 202476.8AIME 2024 (accuracy)Observed 2026-06-07Source
AIME 202572.5AIME 2025 (accuracy)Observed 2026-06-07Source
Google-Proof Q&A58.1GPQA (accuracy)Observed 2026-06-07Source
HumanEval91.4HumanEval (pass@1)Observed 2026-06-07Source
LiveCodeBench83.5LiveCodeBench v3 (accuracy)Observed 2026-06-07Source
MATH-50096.1MATH benchmark (accuracy)Observed 2026-06-07Source
Massive Multitask Language Understanding85.4From official HuggingFace model card (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.