Instruction following · Alibaba Cloud

Qwen3 8B on IFEval: score, rank and what it means

Qwen3 8B scores 71.0 on IFEval, placing it #442 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
71.0
0–100 scale
Rank
#442
of 600
Percentile
26th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
25.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Qwen3 8B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Qwen3 8B sits at #442 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 25.1 points. The median model in this index scores 81.2, which puts Qwen3 8B below the midpoint.

Alibaba Cloud models average 80.9 on this benchmark. Qwen3 8B is 9.9 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among small open-weight models, the average is 64.9. Qwen3 8B is 6.1 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 71.0 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 $1.66 per million input tokens, Qwen3 8B is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
StableLM 2 Base Stability AI 8192 $1.49 61.9

Other benchmarks for Qwen3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 432 28th
GPQA Diamond 57.2 437 27th
SWE-bench Verified 51.0 413 31th
HumanEval 65.7 434 28th
MATH-500 62.8 438 27th
AIME 2025 52.6 438 27th
LiveCodeBench 51.5 433 28th
TruthfulQA 67.2 427 29th
HellaSwag 75.6 433 28th
MMMU 59.8 430 28th
Arena Elo 1305.0 411 32th

FAQ

What score does Qwen3 8B get on IFEval?

Qwen3 8B scores 71.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Qwen3 8B rank on IFEval?

It ranks #442 of 600 models, in the 26th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Qwen3 8B good at IFEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the IFEval score calculated?

IFEval is a instruction following 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 8B cost?

Qwen3 8B costs $1.66 per million input tokens and $6.65 per million output tokens.

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