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  4. Olmo 3 32B Think
Allen Institute for AI
Released November 20, 2025

Olmo 3 32B Think

Olmo 3 32B Think by Allen Institute for AI — a fully open 32B thinking model with Think-mode chain-of-thought, ~65K token context, open model-flow transparency, and Apache 2.0 license.

Visit Allen Institute for AIAnnouncement
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

Olmo 3 32B Think - Thinking-focused open reasoning model

Olmo 3 32B Think is a 32-billion-parameter fully open 'Think' variant from the Olmo 3 family developed by the Allen Institute for AI (AI2), positioned as a reasoning-first model that exposes intermediate reasoning traces. The release emphasizes an end-to-end open model flow (pretraining, mid-training, post-training, data recipes, checkpoints, and code) so researchers can inspect and reproduce capability development.

Defining Characteristics

  • Think-mode: surfaces intermediate chain-of-thought style traces (thinking) to improve inspectability and reasoning analysis.
  • Open model flow: the project publishes full training artifacts, checkpoints, and data recipes for reproducibility and study.
  • Fully open licensing: weights, code, and training details are released under Apache 2.0 according to AI2's announcement.

Context Strategy and Capabilities

  • Long-context capability extended to roughly 65K tokens suitable for long documents and extended reasoning chains.
  • Targeted at math, code, function calling, multi-step reasoning, and tool integration via AI2's Playground and tooling (e.g., tool-calling with JSON-schema tools).

Why It Exists

  • Designed to be the strongest fully open 32B-scale reasoning model while enabling transparency and scientific study of how model capabilities emerge, making it useful for reproducible research and tool-enabled reasoning workflows.

Benchmark Performance

Independent evaluations · Artificial Analysis

6.1%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science61.0%
Humanity's Last Exam6.4%
SciCode - Scientific Coding28.6%
Instruction Following49.1%
Long Context Reasoning0.0%
τ²-Bench - Agentic Tasks0.0%
TerminalBench - System Control1.5%
Specs
Context window
66Ktokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderAllen Institute for AIAnthropicAnthropic
Release DateNovember 20, 2025July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window66K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
Free
Best Input Pricing
$5$10
Output Pricing
Free
Best Output Pricing
$25$50
Modalities
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Outputs
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Benchmarks (0-100)
Intelligence Index6.1
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Olmo 3 32B Think
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

61%
Olmo 3 32B Think
GPQA Benchmark
Score: 61%
Olmo 3 32B Think
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

6%
Olmo 3 32B Think
Humanity's Last Exam
Score: 6%
Olmo 3 32B Think
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

0%
Olmo 3 32B Think
Long Context Reasoning
Score: 0%
Olmo 3 32B Think
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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