LLM Reference

OLMo 3.1 32B Instruct

Released
2026-02-01
Last refreshed
2026-04-27
Status
Researched 88d ago
Open sourceCommercial use: permittedCodingAgentsClassificationJSON / Tool use

OLMo 3.1 32B Instruct is a released coding, agents, and classification model with open-source; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating coding, agents, 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
  • Teams that need a tracked hosted API route today
Specifications
Family
OLMo
Released
2026-02-01
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
Pretrained
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 3.1 32B Instruct is Allen Institute for AI's large-scale 32B instruction-tuned model engineered for high performance across language understanding, reasoning, and coding tasks.

OLMo 3.1 32B Instruct is an open-source model in the OLMo family. The structured metadata tracks a 64k-token context window, function calling, tool use, and structured outputs. Headline tracked benchmarks include AIME 2024 67.8, AIME 2025 57.9, and Google-Proof Q&A 48.6.

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

Coding

2 relevant benchmarks in the decision map.

Agents

Included by capability and metadata signals 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

Function CallingTool UseStructured Outputs

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 202467.8AIME 2024 (accuracy)Observed 2026-06-07Source
AIME 202557.9AIME 2025 (accuracy)Observed 2026-06-07Source
Google-Proof Q&A48.6GPQA (accuracy)Observed 2026-06-07Source
HumanEval86.7HumanEval (pass@1)Observed 2026-06-07Source
LiveCodeBench54.7LiveCodeBench v3 (accuracy)Observed 2026-06-07Source
MATH-50093.4MATH benchmark (accuracy)Observed 2026-06-07Source
Massive Multitask Language Understanding80.9From official HuggingFace model card (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of OLMo 3.1 32B Instruct?

OLMo 3.1 32B Instruct has a context window of 64k tokens.

When was OLMo 3.1 32B Instruct released?

OLMo 3.1 32B Instruct was released on 2026-02-01.

What benchmarks has OLMo 3.1 32B Instruct been tested on?

OLMo 3.1 32B Instruct has been evaluated on 7 benchmarks, including AIME 2024, AIME 2025, Google-Proof Q&A, HumanEval, LiveCodeBench.