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Allen InstituteLanguage model

OLMo 2 13B

OLMo 2 13B has no overall index value yet because there are too few independent benchmark results.

PopularityRank 581 of 785

28out of 100same as last month

based on search, usage and attention

Summary

OLMo 2 13B is Allen AI’s fully open research checkpoint, not just a downloadable set of weights. Alongside the models, Allen AI releases training code, checkpoints, logs, and details about data preparation. The model card says the 13B checkpoint was trained on 5 trillion tokens and deliberately keeps a 4,096-token context.

The OLMo 2 release includes base, SFT, DPO, and RLVR variants. OLMo 2 13B belongs to the 1124 release, while OLMo 2 32B belongs to the later 0325 release. Both checkpoints remain limited to a 4,096-token context.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 10 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

OLMES MMLU (Show measurement, test conditions, and source)
Source value
67.5
Score
67.5
Metric
accuracy
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Test; 14,042 items; 5-shot; char normalization; MCF only.
Source Allen Institute for AI OLMo 2 technical report
OLMES ARC-Challenge (Show measurement, test conditions, and source)
Source value
83.5
Score
83.5
Metric
accuracy
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Test; 1,172 items; 5-shot; PMI normalization.
Source Allen Institute for AI OLMo 2 technical report
OLMES HellaSwag (Show measurement, test conditions, and source)
Source value
86.4
Score
86.4
Metric
accuracy
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Validation; 1,000 sampled from 10,042; 5-shot; char normalization.
Source Allen Institute for AI OLMo 2 technical report
OLMES WinoGrande (Show measurement, test conditions, and source)
Source value
81.5
Score
81.5
Metric
accuracy
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Validation; 1,267 items; 5-shot; no normalization.
Source Allen Institute for AI OLMo 2 technical report
OLMES Natural Questions (Show measurement, test conditions, and source)
Source value
46.7
Score
46.7
Metric
F1
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Validation; 1,000 sampled from 3,610; 5-shot.
Source Allen Institute for AI OLMo 2 technical report
OLMES DROP (Show measurement, test conditions, and source)
Source value
70.7
Score
70.7
Metric
F1
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Validation; 1,000 sampled from 9,536; 5-shot.
Source Allen Institute for AI OLMo 2 technical report
OLMES AGIEval English (Show measurement, test conditions, and source)
Source value
54.2
Score
54.2
Metric
MCF accuracy
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Test; 2,646 items; 1-shot; held-out.
Source Allen Institute for AI OLMo 2 technical report
OLMES GSM8K (Show measurement, test conditions, and source)
Source value
75.1
Score
75.1
Metric
exact match
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Test; 1,319 items; 8-shot CoT; held-out.
Source Allen Institute for AI OLMo 2 technical report
OLMES MMLU-Pro (Show measurement, test conditions, and source)
Source value
35.1
Score
35.1
Metric
MCF accuracy
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Test; 12,032 items; 5-shot; held-out.
Source Allen Institute for AI OLMo 2 technical report
OLMES TriviaQA (Show measurement, test conditions, and source)
Source value
81.9
Score
81.9
Metric
F1
Unit
%
Benchmark version
OLMES Table 6 / Appendix A.1 (report v3 2025-10-08)
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Allen Institute for AI OLMo 2 technical report
Status
active
Retrieved at
2026-10-15
Methodology
Independent evaluation. OLMo 2 13B base-model row in Table 6 of report v3 (2025-10-08), evaluated with OLMES. Report defines multiple-choice scores as accuracy and generative scores as F1. Appendix A.1 supplies splits and shots. Exact base checkpoint only; no Instruct results transferred.; Validation; 7,993 items; 5-shot; held-out.
Source Allen Institute for AI OLMo 2 technical report

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 7, 2026

OLMo 2 13BTrinity Large Thinking 28GLM-4.7-FlashX 28MiMo-V2.5-Pro-UltraSpeed 28Nex-N2.5-Max 28

Method changes in the timeline, a jump at these points is no market event:

  1. 1November 1, 2026: Value only with search or usage data, 30-day attention

What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.

All specifications

Architecture

Parameters
13 billion
Source: Parameters

Input and output

Context window
4,096 tokens
Source: Context window
Inputs
Text
Source: Inputs
Outputs
Text
Source: Outputs

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Weights
Open weights
Source: Weights
License
Apache 2.0
Source: License

Frequently asked questions about OLMo 2 13B

How large is the context window of OLMo 2 13B?

4,096 tokens. That is how much text OLMo 2 13B reads at once, about 10 A4 pages.

Page count as a rule of thumb from Artificial Analysis

Context windowTokens the model reads at once · higher is better
GLM-5.1200K
DeepSeek-V3 0324164K
GLM-4.5131K
GPT OSS 120B131K
DeepSeek-V3.2128K
DeepSeek-R1128K
OLMo 2 13BRank 103 of 1034K

Can I run OLMo 2 13B locally?

Yes, the weights are open.

Stated by Allen Institute

Open weights
yes
License
Apache 2.0
Parameters
13B
active per token
n/a

Sources and data date

Show all 9 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.