Safety · EleutherAI

Pythia on TruthfulQA: score, rank and what it means

Pythia scores 67.2 on TruthfulQA, placing it #426 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
67.2
0–100 scale
Rank
#426
of 600
Percentile
29th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
23.9
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Pythia 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, Pythia sits at #426 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 23.9 points. The median model in this index scores 76.3, which puts Pythia below the midpoint.

EleutherAI models average 58.5 on this benchmark. Pythia is 8.7 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 72.3. Pythia is 5.1 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 67.2 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 $1.29 per million input tokens, Pythia 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
GPT-NeoX EleutherAI 16384 $1.57 61.7
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Pythia EleutherAI 32768 $1.29 59.8
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Nova Lite Mini Amazon 16384 $5.43 65.0

Other benchmarks for Pythia

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.1 487 19th
GPQA Diamond 55.6 455 24th
SWE-bench Verified 44.8 467 22th
HumanEval 62.8 460 23th
MATH-500 63.6 428 29th
AIME 2025 50.0 460 23th
LiveCodeBench 52.2 427 29th
IFEval 70.4 454 24th
HellaSwag 72.8 485 19th
MMMU 55.0 497 17th
Arena Elo 1259.9 476 21th

FAQ

What score does Pythia get on TruthfulQA?

Pythia scores 67.2 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Pythia rank on TruthfulQA?

It ranks #426 of 600 models, in the 29th percentile. The leader is GPT-5.1 Max at 91.1.

Is Pythia 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 Pythia cost?

Pythia costs $1.29 per million input tokens and $5.47 per million output tokens.

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