Reasoning · Allen Institute for AI

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

OLMo 2 Base scores 62.1 on GPQA Diamond, placing it #390 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
62.1
0–100 scale
Rank
#390
of 600
Percentile
35th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
24.9
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, OLMo 2 Base sits at #390 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 24.9 points. The median model in this index scores 68.8, which puts OLMo 2 Base below the midpoint.

Allen Institute for AI models average 55.6 on this benchmark. OLMo 2 Base is 6.5 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 63.6. OLMo 2 Base is 1.5 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 62.1 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Sonar Pro Nano Perplexity 32768 $5.50 66.1
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Arctic Base Snowflake 32768 $2.27 67.5
StableLM 2 Chat Stability AI 8192 $1.79 64.6

Other benchmarks for OLMo 2 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.8 398 34th
SWE-bench Verified 52.0 406 32th
HumanEval 70.2 391 35th
MATH-500 72.6 362 40th
AIME 2025 62.4 373 38th
LiveCodeBench 58.1 389 35th
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 GPQA Diamond?

OLMo 2 Base scores 62.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does OLMo 2 Base rank on GPQA Diamond?

It ranks #390 of 600 models, in the 35th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is OLMo 2 Base good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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.

Related