Safety · Alibaba Cloud

Qwen3 on TruthfulQA: score, rank and what it means

Qwen3 scores 80.4 on TruthfulQA, placing it #168 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
80.4
0–100 scale
Rank
#168
of 600
Percentile
72th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
10.7
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Qwen3 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, Qwen3 sits at #168 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 10.7 points. The median model in this index scores 76.3, which puts Qwen3 above the midpoint.

Alibaba Cloud models average 76.0 on this benchmark. Qwen3 is 4.4 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 80.1. Qwen3 is 0.3 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 80.4 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 $5.04 per million input tokens, Qwen3 is above 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
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Llama 3.3 Meta AI 128000 $4.56 78.2
Qwen3 Alibaba Cloud 128000 $5.04 80.3
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Hunyuan-Large Chat Tencent 200000 $4.35 78.1

Other benchmarks for Qwen3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.2 143 76th
GPQA Diamond 77.7 94 84th
SWE-bench Verified 71.6 83 86th
HumanEval 87.0 89 85th
MATH-500 86.5 85 86th
AIME 2025 74.5 166 72th
LiveCodeBench 73.8 114 81th
IFEval 85.6 170 72th
HellaSwag 88.1 139 77th
MMMU 76.7 119 80th
Arena Elo 1420.9 145 76th

FAQ

What score does Qwen3 get on TruthfulQA?

Qwen3 scores 80.4 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Qwen3 rank on TruthfulQA?

It ranks #168 of 600 models, in the 72nd percentile. The leader is GPT-5.1 Max at 91.1.

Is Qwen3 good at TruthfulQA?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Qwen3 cost?

Qwen3 costs $5.04 per million input tokens and $22.52 per million output tokens.

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