LLM
Olmo 3.1 32B Instruct
Ai2 fully open 32B instruction-tuned model for chat, tool use and multi-turn dialogue, post-trained from Olmo 3 32B with SFT, DPO and RLVR.
Levelmodel
ClassLLM
Parametersnot in the notes
Context66,000
Released10 Dec 2025
Opennessfully open
Runs onnot in the notes
Statusactive
Benchmark Results
vendor-reportedindependent
AIME 2025 2025math
vendor-reported
57.9
050100
Score in %. Higher is better.
Olmo 3.1 32B Instruct model card
AIME24 2024math
vendor-reported
67.8
050100
Score in %. Higher is better.
Olmo 3.1 32B Instruct model card
Artificial Analysis Intelligence Index v4.3.2composite index
Intelligence Index v4.3.2; marked estimated (asterisk) on pageindependent
6
03060
Score in index. Higher is better.
rank 34 of 75, AA model page, rank within model class
HumanEval+coding
vendor-reported
86.7
050100
Score in %. Higher is better.
Olmo 3.1 32B Instruct model card
IFEvalknowledge and reasoning
vendor-reported
88.8
050100
Score in %. Higher is better.
Olmo 3.1 32B Instruct model card
MATHmath
vendor-reported
93.4
050100
Score in %. Higher is better.
Olmo 3.1 32B Instruct model card
MMLUknowledge and reasoning
vendor-reported
80.9
050100
Score in %. Higher is better.
Olmo 3.1 32B Instruct model card
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
finetune
Olmo-3-1125-32B is the parent (finetune)high confidencemodel cardWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 3 models. Confidence and evidence are the notes' own.
R&D Topics
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes Transformer-style autoregressive language model
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- 32B per model name; Artificial Analysis lists 32.2B total
- Context length
- 66,000 tokens
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- fully open
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- Licensed Apache 2.0 for research and educational use under Ai2 Responsible Use Guidelines; data cutoff Dec 2024
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- English
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
DeveloperAllen AIcompany, USA
Allen AIcompany, USAModelOlmo 3.1 32B InstructAllen AI, LLM
Olmo 3.1 32B InstructAllen AI, LLMR&D TopicsAgents and Tool UseData Curation and Synthetic DataOpen Post-Training RecipesOpen-Weight Frontier Releases as Research Substrate
Use CasesProcess Optimisation and Advanced Process ControlIndustrialClinical LLM (Open Weights)HealthcareTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 4
Open-Weight Frontier Releases as Research SubstrateUsing released weights as the base for downstream research.used byAgents and Tool UseSystems that plan, call tools and act over multi-step tasks.produced byOpen Post-Training RecipesOpenly released data, code and methods (instruction tuning, preference optimisation, veri…produced byData Curation and Synthetic DataBuilding, filtering and generating training corpora.produced by
Sources
- huggingface.co/allenai/Olmo-3.1-32B-Instruct https://huggingface.co/allenai/Olmo-3.1-32B-Instruct
- allenai.org/blog/olmo3 https://allenai.org/blog/olmo3
- artificialanalysis.ai/models/olmo-3-1-32b-instruct https://artificialanalysis.ai/models/olmo-3-1-32b-instruct
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Olmo 3.1 32B Instruct", https://aurion.semai.id/models/allen-ai-olmo-3-1-32b-instruct/, records of October 2026.