Safety · Alibaba Cloud

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

Qwen3-Coder Base scores 80.8 on TruthfulQA, placing it #162 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
80.8
0–100 scale
Rank
#162
of 600
Percentile
73th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
10.3
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Qwen3-Coder 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, Qwen3-Coder Base sits at #162 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 10.3 points. The median model in this index scores 76.3, which puts Qwen3-Coder Base above the midpoint.

Alibaba Cloud models average 76.0 on this benchmark. Qwen3-Coder Base is 4.8 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 Base is 8.2 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 80.8 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 $3.99 per million input tokens, Qwen3-Coder 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
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1
Doubao 1.5 Pro Turbo ByteDance 128000 $13.81 79.4
Hunyuan-Large Tencent 65536 $4.33 78.2
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6
Sonar Pro Perplexity 65536 $11.25 77.1
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4

Other benchmarks for Qwen3-Coder Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.3 235 61th
GPQA Diamond 72.2 216 64th
SWE-bench Verified 64.0 232 61th
HumanEval 78.5 282 53th
MATH-500 82.4 156 74th
AIME 2025 73.7 193 68th
LiveCodeBench 68.0 227 62th
IFEval 85.7 168 72th
HellaSwag 85.5 228 62th
MMMU 73.4 208 65th
Arena Elo 1409.2 185 69th

FAQ

What score does Qwen3-Coder Base get on TruthfulQA?

Qwen3-Coder Base scores 80.8 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Qwen3-Coder Base rank on TruthfulQA?

It ranks #162 of 600 models, in the 73rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Qwen3-Coder 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 Qwen3-Coder Base cost?

Qwen3-Coder Base costs $3.99 per million input tokens and $18.04 per million output tokens.

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