Instruction following · Baidu

ERNIE 4.0 Nano on IFEval: score, rank and what it means

ERNIE 4.0 Nano scores 71.2 on IFEval, placing it #438 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
71.2
0–100 scale
Rank
#438
of 600
Percentile
27th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
24.9
points

Score distribution

The chart shows the top 10 models on IFEval, with ERNIE 4.0 Nano 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, ERNIE 4.0 Nano sits at #438 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 24.9 points. The median model in this index scores 81.2, which puts ERNIE 4.0 Nano below the midpoint.

Baidu models average 82.9 on this benchmark. ERNIE 4.0 Nano is 11.7 points below that provider line, so it is a weaker result than the average Baidu model.

Among mid-range models, the average is 76.5. ERNIE 4.0 Nano is 5.3 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 71.2 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 $4.68 per million input tokens, ERNIE 4.0 Nano is above 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
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
SmolLM3 Base Hugging Face 16384 $1.38 60.4
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

Other benchmarks for ERNIE 4.0 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.6 442 26th
GPQA Diamond 57.1 439 27th
SWE-bench Verified 47.0 446 26th
HumanEval 67.0 422 30th
MATH-500 63.4 431 28th
AIME 2025 53.8 426 29th
LiveCodeBench 53.3 415 31th
TruthfulQA 68.3 410 32th
HellaSwag 74.8 444 26th
MMMU 61.6 414 31th
Arena Elo 1288.3 432 28th

FAQ

What score does ERNIE 4.0 Nano get on IFEval?

ERNIE 4.0 Nano scores 71.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does ERNIE 4.0 Nano rank on IFEval?

It ranks #438 of 600 models, in the 27th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is ERNIE 4.0 Nano 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 ERNIE 4.0 Nano cost?

ERNIE 4.0 Nano costs $4.68 per million input tokens and $22.77 per million output tokens.

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