OLMo 3.1 32B Instruct
Released
2026-02-01
Last refreshed
2026-04-27
Status
Researched 135d 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
Pricing
No tracked provider token pricing is available yet.
Links
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.
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
JSON / Tool useStructured Outputs
Benchmark peer barsfor Coding
HumanEvalRank 25 of 97
LiveCodeBenchRank 50 of 56
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.
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| AIME 2024 | 67.8 | AIME 2024 (accuracy)Observed 2026-06-07 | — | Source |
| AIME 2025 | 57.9 | AIME 2025 (accuracy)Observed 2026-06-07 | — | Source |
| Google-Proof Q&A | 48.6 | GPQA (accuracy)Observed 2026-06-07 | — | Source |
| HumanEval | 86.7 | HumanEval (pass@1)Observed 2026-06-07 | — | Source |
| LiveCodeBench | 54.7 | LiveCodeBench v3 (accuracy)Observed 2026-06-07 | — | Source |
| MATH-500 | 93.4 | MATH benchmark (accuracy)Observed 2026-06-07 | — | Source |
| Massive Multitask Language Understanding | 80.9 | From official HuggingFace model card (accuracy)Observed 2026-06-07 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Created by
Pricing
No tracked provider token pricing is available yet.
Links