Safety · Alibaba Cloud

Qwen3-Max Pro on TruthfulQA: score, rank and what it means

Qwen3-Max Pro scores 88.6 on TruthfulQA, placing it #17 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
88.6
0–100 scale
Rank
#17
of 600
Percentile
97th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
2.5
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Qwen3-Max Pro 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-Max Pro sits at #17 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 2.5 points. The median model in this index scores 76.3, which puts Qwen3-Max Pro above the midpoint.

Alibaba Cloud models average 76.0 on this benchmark. Qwen3-Max Pro is 12.6 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among frontier models, the average is 86.9. Qwen3-Max Pro is 1.7 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 88.6 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 $18.87 per million input tokens, Qwen3-Max Pro 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
Gemini 3 Pro Google DeepMind 2000000 $18.24 86.1
Grok 4 Turbo xAI 1000000 $19.21 86.7
Qwen3-Max Reasoning Alibaba Cloud 2000000 $18.12 85.9
o4 Turbo OpenAI 2000000 $19.34 86.6
Qwen3-Max Pro Alibaba Cloud 400000 $18.87 86.2
o3 Pro OpenAI 400000 $17.89 85.8
GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5

Other benchmarks for Qwen3-Max Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 88.7 11 98th
GPQA Diamond 80.0 58 90th
SWE-bench Verified 75.6 34 94th
HumanEval 92.1 20 97th
MATH-500 91.8 27 96th
AIME 2025 85.4 35 94th
LiveCodeBench 81.0 32 95th
IFEval 93.2 20 97th
HellaSwag 92.4 36 94th
MMMU 79.5 67 89th
Arena Elo 1466.4 42 93th

FAQ

What score does Qwen3-Max Pro get on TruthfulQA?

Qwen3-Max Pro scores 88.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Qwen3-Max Pro rank on TruthfulQA?

It ranks #17 of 600 models, in the 97th percentile. The leader is GPT-5.1 Max at 91.1.

Is Qwen3-Max Pro 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-Max Pro cost?

Qwen3-Max Pro costs $18.87 per million input tokens and $84.39 per million output tokens.

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