Coding · Allen Institute for AI

OLMo 2 7B on LiveCodeBench: score, rank and what it means

OLMo 2 7B scores 40.3 on LiveCodeBench, placing it #536 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
40.3
0–100 scale
Rank
#536
of 600
Percentile
11th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
44.8
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with OLMo 2 7B highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, OLMo 2 7B sits at #536 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 44.8 points. The median model in this index scores 64.7, which puts OLMo 2 7B below the midpoint.

Allen Institute for AI models average 48.3 on this benchmark. OLMo 2 7B is 8.0 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 41.2. OLMo 2 7B is 0.9 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 40.3 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 $0.56 per million input tokens, OLMo 2 7B is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
Phi-3.5 8B Microsoft 16384 $0.59 51.2
Embed 4 Nano Cohere 8192 $1.48 49.7
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5
Llama 3.3 1.5B Meta AI 4096 $0.61 52.2

Other benchmarks for OLMo 2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 533 11th
GPQA Diamond 48.2 536 11th
SWE-bench Verified 35.5 552 8th
HumanEval 55.9 536 11th
MATH-500 49.0 563 6th
AIME 2025 41.2 535 11th
IFEval 63.4 544 9th
TruthfulQA 59.1 540 10th
HellaSwag 67.0 564 6th
MMMU 50.1 553 8th
Arena Elo 1211.0 543 10th

FAQ

What score does OLMo 2 7B get on LiveCodeBench?

OLMo 2 7B scores 40.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does OLMo 2 7B rank on LiveCodeBench?

It ranks #536 of 600 models, in the 11th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is OLMo 2 7B good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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 7B cost?

OLMo 2 7B costs $0.56 per million input tokens and $2.58 per million output tokens.

Related