Coding · Alibaba Cloud

Qwen3 Instruct on HumanEval: score, rank and what it means

Qwen3 Instruct scores 85.1 on HumanEval, placing it #112 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
85.1
0–100 scale
Rank
#112
of 600
Percentile
81th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
11.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Qwen3 Instruct highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Qwen3 Instruct sits at #112 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 11.7 points. The median model in this index scores 77.4, which puts Qwen3 Instruct above the midpoint.

Alibaba Cloud models average 77.1 on this benchmark. Qwen3 Instruct is 8.0 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 82.2. Qwen3 Instruct is 2.9 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 85.1 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 $5.06 per million input tokens, Qwen3 Instruct is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Grok 3 xAI 128000 $15.84 82.8
Reka Core Turbo Reka AI 32768 $12.58 78.4
Magistral Mistral AI 200000 $4.75 79.8
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Sonar Pro Max Perplexity 128000 $14.01 81.1
Claude Haiku 4.5 Vision Anthropic 128000 $13.01 79.2

Other benchmarks for Qwen3 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.3 177 71th
GPQA Diamond 74.1 166 72th
SWE-bench Verified 68.5 134 78th
MATH-500 86.1 91 85th
AIME 2025 78.5 108 82th
LiveCodeBench 71.1 171 72th
IFEval 89.1 79 87th
TruthfulQA 79.7 196 67th
HellaSwag 87.0 179 70th
MMMU 78.7 80 87th
Arena Elo 1419.2 153 75th

FAQ

What score does Qwen3 Instruct get on HumanEval?

Qwen3 Instruct scores 85.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Qwen3 Instruct rank on HumanEval?

It ranks #112 of 600 models, in the 81st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Qwen3 Instruct good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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 Instruct cost?

Qwen3 Instruct costs $5.06 per million input tokens and $25.39 per million output tokens.

Related