Coding · Allen Institute for AI

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

OLMo 2 Chat scores 74.7 on HumanEval, placing it #348 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
74.7
0–100 scale
Rank
#348
of 600
Percentile
42th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
22.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with OLMo 2 Chat 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 Chat sits at #348 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 22.1 points. The median model in this index scores 77.4, which puts OLMo 2 Chat below the midpoint.

Allen Institute for AI models average 64.2 on this benchmark. OLMo 2 Chat is 10.5 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 Chat is 2.3 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 74.7 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 $2.94 per million input tokens, OLMo 2 Chat 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
Arctic Chat Snowflake 16384 $2.70 69.8
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
DBRX Instruct Databricks 8192 $3.21 72.4
Mixtral Groq Instruct Groq 16384 $3.25 72.5
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
Qwen3-Max Nano Alibaba Cloud 65536 $8.31 71.7
o4 Nano OpenAI 65536 $8.61 72.0

Other benchmarks for OLMo 2 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.7 360 40th
GPQA Diamond 64.1 377 37th
SWE-bench Verified 60.9 307 49th
MATH-500 72.4 364 39th
AIME 2025 62.9 366 39th
LiveCodeBench 61.8 351 42th
IFEval 81.2 301 50th
TruthfulQA 74.4 345 43th
HellaSwag 81.1 369 39th
MMMU 69.0 326 46th
Arena Elo 1365.6 330 45th

FAQ

What score does OLMo 2 Chat get on HumanEval?

OLMo 2 Chat scores 74.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does OLMo 2 Chat rank on HumanEval?

It ranks #348 of 600 models, in the 42nd percentile. The leader is GPT-5.2 Pro at 96.8.

Is OLMo 2 Chat 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 Chat cost?

OLMo 2 Chat costs $2.94 per million input tokens and $12.06 per million output tokens.

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