Coding · Allen Institute for AI

OLMo 2 on HumanEval: score, rank and what it means

OLMo 2 scores 77.3 on HumanEval, placing it #305 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
77.3
0–100 scale
Rank
#305
of 600
Percentile
49th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
19.5
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, OLMo 2 sits at #305 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.5 points. The median model in this index scores 77.4, which puts OLMo 2 below the midpoint.

Allen Institute for AI models average 64.2 on this benchmark. OLMo 2 is 13.1 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 72.4. OLMo 2 is 4.9 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 77.3 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 $2.99 per million input tokens, OLMo 2 is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Auto Reasoning OpenRouter 65536 $8.39 71.5
Grok 3 Mini xAI 200000 $9.67 73.9
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Yi-Large Instruct 01.AI 32768 $3.48 73.4

Other benchmarks for OLMo 2

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.5 318 47th
GPQA Diamond 65.1 358 40th
SWE-bench Verified 57.5 363 40th
MATH-500 75.0 324 46th
AIME 2025 63.9 358 40th
LiveCodeBench 59.8 370 38th
IFEval 80.9 313 48th
TruthfulQA 75.5 321 47th
HellaSwag 82.5 337 44th
MMMU 68.3 340 43th
Arena Elo 1373.1 306 49th

FAQ

What score does OLMo 2 get on HumanEval?

OLMo 2 scores 77.3 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does OLMo 2 rank on HumanEval?

It ranks #305 of 600 models, in the 49th percentile. The leader is GPT-5.2 Pro at 96.8.

Is OLMo 2 good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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 cost?

OLMo 2 costs $2.99 per million input tokens and $11.52 per million output tokens.

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