Safety · Alibaba Cloud

QwQ Base on TruthfulQA: score, rank and what it means

QwQ Base scores 79.8 on TruthfulQA, placing it #190 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
79.8
0–100 scale
Rank
#190
of 600
Percentile
68th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
11.3
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with QwQ Base 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, QwQ Base sits at #190 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 11.3 points. The median model in this index scores 76.3, which puts QwQ Base above the midpoint.

Alibaba Cloud models average 76.0 on this benchmark. QwQ Base is 3.8 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. QwQ Base is 0.3 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 79.8 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 $3.68 per million input tokens, QwQ Base 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
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 4 Scout Base Meta AI 32768 $3.95 75.3
QwQ Base Alibaba Cloud 65536 $3.68 74.1
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5

Other benchmarks for QwQ Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 263 56th
GPQA Diamond 69.9 268 55th
SWE-bench Verified 65.2 211 65th
HumanEval 77.0 308 49th
MATH-500 77.5 266 56th
AIME 2025 66.2 326 46th
LiveCodeBench 64.0 319 47th
IFEval 81.2 303 50th
HellaSwag 86.4 201 67th
MMMU 70.0 304 49th
Arena Elo 1373.8 300 50th

FAQ

What score does QwQ Base get on TruthfulQA?

QwQ Base scores 79.8 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does QwQ Base rank on TruthfulQA?

It ranks #190 of 600 models, in the 68th percentile. The leader is GPT-5.1 Max at 91.1.

Is QwQ Base 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 QwQ Base cost?

QwQ Base costs $3.68 per million input tokens and $15.98 per million output tokens.

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