Preference · Allen Institute for AI

OLMo 2 Base on Arena Elo: score, rank and what it means

OLMo 2 Base scores 1326.6 on Arena Elo, placing it #391 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1326.6
0–100 scale
Rank
#391
of 600
Percentile
35th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
175.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with OLMo 2 Base highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, OLMo 2 Base sits at #391 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 175.3 points. The median model in this index scores 1373.8, which puts OLMo 2 Base below the midpoint.

Allen Institute for AI models average 1273.7 on this benchmark. OLMo 2 Base is 52.9 points above that provider line, so it is a stronger result than the average Allen Institute for AI model.

Among open-weight models, the average is 1338.0. OLMo 2 Base is 11.4 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 1326.6 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $2.39 per million input tokens, OLMo 2 Base is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
Molmo Allen Institute for AI 32768 $2.49 68.5
Sonar Pro Nano Perplexity 32768 $5.50 66.1
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Embed 4 Max Cohere 8192 $5.68 66.1
Molmo Chat Allen Institute for AI 32768 $2.40 66.7

Other benchmarks for OLMo 2 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.8 398 34th
GPQA Diamond 62.1 390 35th
SWE-bench Verified 52.0 406 32th
HumanEval 70.2 391 35th
MATH-500 72.6 362 40th
AIME 2025 62.4 373 38th
LiveCodeBench 58.1 389 35th
IFEval 76.4 383 36th
TruthfulQA 72.5 376 37th
HellaSwag 81.5 359 40th
MMMU 64.1 388 35th

FAQ

What score does OLMo 2 Base get on Arena Elo?

OLMo 2 Base scores 1326.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does OLMo 2 Base rank on Arena Elo?

It ranks #391 of 600 models, in the 35th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is OLMo 2 Base good at Arena Elo?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the Arena Elo score calculated?

Arena Elo is a preference benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does OLMo 2 Base cost?

OLMo 2 Base costs $2.39 per million input tokens and $11.05 per million output tokens.

Related