Safety · Allen Institute for AI

OLMo 2 8B on TruthfulQA: score, rank and what it means

OLMo 2 8B scores 60.0 on TruthfulQA, placing it #530 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
60.0
0–100 scale
Rank
#530
of 600
Percentile
12th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
31.1
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with OLMo 2 8B highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, OLMo 2 8B sits at #530 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 31.1 points. The median model in this index scores 76.3, which puts OLMo 2 8B below the midpoint.

Allen Institute for AI models average 65.5 on this benchmark. OLMo 2 8B is 5.5 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 59.9. OLMo 2 8B is 0.1 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 60.0 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 $0.64 per million input tokens, OLMo 2 8B is below the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Novita 8B Novita AI 16384 $0.99 55.5
Phi-4 7B Microsoft 8192 $0.91 56.8
Mistral Large 3 1.5B Mistral AI 32768 $0.82 55.4
Mixtral Groq 7B Groq 4096 $0.70 53.4
OLMo 2 8B Allen Institute for AI 4096 $0.64 52.5
Mixtral 7B Mistral AI 16384 $0.70 54.1
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8

Other benchmarks for OLMo 2 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.6 543 10th
GPQA Diamond 50.5 518 14th
SWE-bench Verified 39.4 527 12th
HumanEval 53.9 550 8th
MATH-500 51.0 548 9th
AIME 2025 41.2 536 11th
LiveCodeBench 39.0 543 10th
IFEval 61.8 556 7th
HellaSwag 71.3 515 14th
MMMU 50.3 550 8th
Arena Elo 1212.1 541 10th

FAQ

What score does OLMo 2 8B get on TruthfulQA?

OLMo 2 8B scores 60.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does OLMo 2 8B rank on TruthfulQA?

It ranks #530 of 600 models, in the 12th percentile. The leader is GPT-5.1 Max at 91.1.

Is OLMo 2 8B good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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 8B cost?

OLMo 2 8B costs $0.64 per million input tokens and $3.18 per million output tokens.

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