Preference · Allen Institute for AI

OLMo 2 1.5B on Arena Elo: score, rank and what it means

OLMo 2 1.5B scores 1142.8 on Arena Elo, placing it #586 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
1142.8
0–100 scale
Rank
#586
of 600
Percentile
2th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
359.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with OLMo 2 1.5B 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 1.5B sits at #586 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 359.1 points. The median model in this index scores 1373.8, which puts OLMo 2 1.5B below the midpoint.

Allen Institute for AI models average 1273.7 on this benchmark. OLMo 2 1.5B is 130.9 points below that provider line, so it is a weaker result than the average Allen Institute for AI model.

Among small open-weight models, the average is 1224.7. OLMo 2 1.5B is 81.9 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 1142.8 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 $0.28 per million input tokens, OLMo 2 1.5B 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
StableLM 2 7B Stability AI 8192 $0.28 44.3
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
SmolLM3 8B Hugging Face 32768 $0.21 44.0
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
Pythia 7B EleutherAI 8192 $0.10 40.7

Other benchmarks for OLMo 2 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 51.2 588 2th
GPQA Diamond 40.7 582 3th
SWE-bench Verified 26.3 592 1th
HumanEval 48.3 584 3th
MATH-500 41.9 591 2th
AIME 2025 29.2 585 3th
LiveCodeBench 29.4 584 3th
IFEval 55.4 591 2th
TruthfulQA 50.5 590 2th
HellaSwag 64.3 588 2th
MMMU 46.4 577 4th

FAQ

What score does OLMo 2 1.5B get on Arena Elo?

OLMo 2 1.5B scores 1142.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does OLMo 2 1.5B rank on Arena Elo?

It ranks #586 of 600 models, in the 2nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is OLMo 2 1.5B 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 1.5B cost?

OLMo 2 1.5B costs $0.28 per million input tokens and $1.41 per million output tokens.

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