Coding · Allen Institute for AI

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

OLMo 2 Base scores 58.1 on LiveCodeBench, placing it #389 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
58.1
0–100 scale
Rank
#389
of 600
Percentile
35th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
27.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with OLMo 2 Base 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 Base sits at #389 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 27.0 points. The median model in this index scores 64.7, which puts OLMo 2 Base below the midpoint.

Allen Institute for AI models average 48.3 on this benchmark. OLMo 2 Base is 9.8 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 59.1. OLMo 2 Base is 1.0 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 58.1 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron Nano NVIDIA 8192 $2.24 66.6
Embed 4 Max Cohere 8192 $5.68 66.1
Reka Flash Mini Reka AI 16384 $5.77 65.5
Sonar Pro Nano Perplexity 32768 $5.50 66.1
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3

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
IFEval 76.4 383 36th
TruthfulQA 72.5 376 37th
HellaSwag 81.5 359 40th
MMMU 64.1 388 35th
Arena Elo 1326.6 391 35th

FAQ

What score does OLMo 2 Base get on LiveCodeBench?

OLMo 2 Base scores 58.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does OLMo 2 Base rank on LiveCodeBench?

It ranks #389 of 600 models, in the 35th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is OLMo 2 Base 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 Base cost?

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

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