Instruction following · Alibaba Cloud

Qwen3 1.5B on IFEval: score, rank and what it means

Qwen3 1.5B scores 64.5 on IFEval, placing it #536 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
64.5
0–100 scale
Rank
#536
of 600
Percentile
11th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
31.6
points

Score distribution

The chart shows the top 10 models on IFEval, with Qwen3 1.5B 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 1.5B sits at #536 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 31.6 points. The median model in this index scores 81.2, which puts Qwen3 1.5B below the midpoint.

Alibaba Cloud models average 80.9 on this benchmark. Qwen3 1.5B is 16.4 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 1.5B is 0.4 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 64.5 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 $0.84 per million input tokens, Qwen3 1.5B 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
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6
Yi-Large 7B 01.AI 4096 $0.83 55.0
DBRX 8B Databricks 4096 $0.82 54.1
Llama 3.3 1.5B Meta AI 4096 $0.61 52.2
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0

Other benchmarks for Qwen3 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.8 516 14th
GPQA Diamond 49.8 527 12th
SWE-bench Verified 36.9 542 10th
HumanEval 59.8 507 16th
MATH-500 54.2 526 12th
AIME 2025 41.5 533 11th
LiveCodeBench 38.8 544 9th
TruthfulQA 60.9 520 13th
HellaSwag 69.1 547 9th
MMMU 52.1 530 12th
Arena Elo 1238.1 517 14th

FAQ

What score does Qwen3 1.5B get on IFEval?

Qwen3 1.5B scores 64.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Qwen3 1.5B rank on IFEval?

It ranks #536 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Qwen3 1.5B 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 1.5B cost?

Qwen3 1.5B costs $0.84 per million input tokens and $4.53 per million output tokens.

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