Mathematics · Baidu

ERNIE 4.5 Nano on MATH-500: score, rank and what it means

ERNIE 4.5 Nano scores 68.1 on MATH-500, placing it #399 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
68.1
0–100 scale
Rank
#399
of 600
Percentile
34th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
28.6
points

Score distribution

The chart shows the top 10 models on MATH-500, with ERNIE 4.5 Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, ERNIE 4.5 Nano sits at #399 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 28.6 points. The median model in this index scores 76.0, which puts ERNIE 4.5 Nano below the midpoint.

Baidu models average 79.3 on this benchmark. ERNIE 4.5 Nano is 11.2 points below that provider line, so it is a weaker result than the average Baidu model.

Among mid-range models, the average is 70.0. ERNIE 4.5 Nano is 1.9 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 68.1 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 $6.01 per million input tokens, ERNIE 4.5 Nano is above the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron Nano NVIDIA 8192 $2.24 66.6
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
StableLM 2 Stability AI 8192 $1.91 65.0
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
SmolLM3 Hugging Face 8192 $1.71 63.1
StableLM 2 Chat Stability AI 8192 $1.79 64.6

Other benchmarks for ERNIE 4.5 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.7 399 34th
GPQA Diamond 60.0 405 33th
SWE-bench Verified 56.2 375 38th
HumanEval 69.4 405 33th
AIME 2025 57.8 401 33th
LiveCodeBench 55.5 400 33th
IFEval 76.8 379 37th
TruthfulQA 68.9 405 33th
HellaSwag 77.4 410 32th
MMMU 61.5 416 31th
Arena Elo 1310.0 409 32th

FAQ

What score does ERNIE 4.5 Nano get on MATH-500?

ERNIE 4.5 Nano scores 68.1 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does ERNIE 4.5 Nano rank on MATH-500?

It ranks #399 of 600 models, in the 34th percentile. The leader is GPT-5.2 Max at 96.7.

Is ERNIE 4.5 Nano good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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 4.5 Nano cost?

ERNIE 4.5 Nano costs $6.01 per million input tokens and $22.92 per million output tokens.

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