Safety · Alibaba Cloud

Qwen3 Chat on TruthfulQA: score, rank and what it means

Qwen3 Chat scores 81.3 on TruthfulQA, placing it #145 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
81.3
0–100 scale
Rank
#145
of 600
Percentile
76th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
9.8
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Qwen3 Chat 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 Chat sits at #145 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 9.8 points. The median model in this index scores 76.3, which puts Qwen3 Chat above the midpoint.

Alibaba Cloud models average 76.0 on this benchmark. Qwen3 Chat is 5.3 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 Chat is 1.2 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 81.3 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 $4.75 per million input tokens, Qwen3 Chat 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
Llama 3.1 Turbo Together AI 200000 $4.17 76.8
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
Command A Turbo Cohere 32768 $13.53 79.8
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Command A Cohere 200000 $13.30 79.6

Other benchmarks for Qwen3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.4 98 84th
GPQA Diamond 73.9 173 71th
SWE-bench Verified 68.5 133 78th
HumanEval 83.9 136 77th
MATH-500 81.4 180 70th
AIME 2025 73.8 190 68th
LiveCodeBench 72.2 144 76th
IFEval 87.5 118 80th
HellaSwag 86.5 194 68th
MMMU 77.3 110 82th
Arena Elo 1417.2 160 73th

FAQ

What score does Qwen3 Chat get on TruthfulQA?

Qwen3 Chat scores 81.3 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Qwen3 Chat rank on TruthfulQA?

It ranks #145 of 600 models, in the 76th percentile. The leader is GPT-5.1 Max at 91.1.

Is Qwen3 Chat 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 Chat cost?

Qwen3 Chat costs $4.75 per million input tokens and $17.42 per million output tokens.

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