Safety · EleutherAI

GPT-NeoX 7B on TruthfulQA: score, rank and what it means

GPT-NeoX 7B scores 52.4 on TruthfulQA, placing it #585 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
52.4
0–100 scale
Rank
#585
of 600
Percentile
3th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
38.7
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with GPT-NeoX 7B 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, GPT-NeoX 7B sits at #585 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 38.7 points. The median model in this index scores 76.3, which puts GPT-NeoX 7B below the midpoint.

EleutherAI models average 58.5 on this benchmark. GPT-NeoX 7B is 6.1 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 59.9. GPT-NeoX 7B is 7.5 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 52.4 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 $0.20 per million input tokens, GPT-NeoX 7B 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
Mixtral Groq 1.5B Groq 4096 $0.34 46.1
Phi-4 1.5B Microsoft 8192 $0.42 48.1
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
StableLM 2 7B Stability AI 8192 $0.28 44.3
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4
SmolLM3 7B Hugging Face 16384 $0.19 44.3
Zephyr 7B Hugging Face 32768 $0.23 42.5

Other benchmarks for GPT-NeoX 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 48.5 595 1th
GPQA Diamond 37.1 594 1th
SWE-bench Verified 26.4 590 2th
HumanEval 43.7 592 1th
MATH-500 42.9 587 2th
AIME 2025 28.9 586 2th
LiveCodeBench 24.0 595 1th
IFEval 56.4 587 2th
HellaSwag 64.1 589 2th
MMMU 42.3 588 2th
Arena Elo 1130.2 593 1th

FAQ

What score does GPT-NeoX 7B get on TruthfulQA?

GPT-NeoX 7B scores 52.4 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does GPT-NeoX 7B rank on TruthfulQA?

It ranks #585 of 600 models, in the 3rd percentile. The leader is GPT-5.1 Max at 91.1.

Is GPT-NeoX 7B 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 GPT-NeoX 7B cost?

GPT-NeoX 7B costs $0.20 per million input tokens and $0.89 per million output tokens.

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