Safety · Alibaba Cloud

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

Qwen3-Coder scores 79.8 on TruthfulQA, placing it #192 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
#192
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 Qwen3-Coder 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-Coder sits at #192 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 Qwen3-Coder above the midpoint.

Alibaba Cloud models average 76.0 on this benchmark. Qwen3-Coder is 3.8 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among coding models, the average is 72.6. Qwen3-Coder is 7.2 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 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 $4.94 per million input tokens, Qwen3-Coder 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
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
GLM-4.5 Zhipu AI 200000 $4.55 78.2
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7

Other benchmarks for Qwen3-Coder

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 89 85th
GPQA Diamond 77.9 88 85th
SWE-bench Verified 71.0 96 84th
HumanEval 83.5 146 76th
MATH-500 86.1 92 85th
AIME 2025 74.2 175 71th
LiveCodeBench 69.8 196 67th
IFEval 86.6 144 76th
HellaSwag 86.7 188 69th
MMMU 75.2 159 74th
Arena Elo 1439.3 98 84th

FAQ

What score does Qwen3-Coder get on TruthfulQA?

Qwen3-Coder scores 79.8 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Qwen3-Coder rank on TruthfulQA?

It ranks #192 of 600 models, in the 68th percentile. The leader is GPT-5.1 Max at 91.1.

Is Qwen3-Coder 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-Coder cost?

Qwen3-Coder costs $4.94 per million input tokens and $19.51 per million output tokens.

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