ERNIE 4.0 on MMMU: score, rank and what it means
ERNIE 4.0 scores 70.2 on MMMU, placing it #290 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with ERNIE 4.0 highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, ERNIE 4.0 sits at #290 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 16.7 points. The median model in this index scores 70.0, which puts ERNIE 4.0 above the midpoint.
Baidu models average 72.2 on this benchmark. ERNIE 4.0 is 2.0 points below that provider line, so it is a weaker result than the average Baidu model.
Among multimodal models, the average is 74.3. ERNIE 4.0 is 4.1 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 70.2 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 $11.37 per million input tokens, ERNIE 4.0 is above the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Mixtral Chat | Mistral AI | 65536 | $3.30 | 72.6 |
| Mixtral Turbo Chat | Together AI | 32768 | $3.02 | 71.7 |
| OLMo 2 Instruct | Allen Institute for AI | 32768 | $3.03 | 71.7 |
| DBRX Instruct | Databricks | 8192 | $3.21 | 72.4 |
| ERNIE 4.0 | Baidu | 32768 | $11.37 | 76.7 |
| Gemma 3 Chat | Google DeepMind | 65536 | $3.74 | 74.5 |
| Llama 3 Novita | Novita AI | 128000 | $3.70 | 74.4 |
Other benchmarks for ERNIE 4.0
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 79.0 | 208 | 65th | |
| GPQA Diamond | 74.6 | 151 | 75th | |
| SWE-bench Verified | 66.9 | 170 | 72th | |
| HumanEval | 82.5 | 174 | 71th | |
| MATH-500 | 82.1 | 162 | 73th | |
| AIME 2025 | 73.7 | 191 | 68th | |
| LiveCodeBench | 66.9 | 253 | 58th | |
| IFEval | 82.8 | 248 | 59th | |
| TruthfulQA | 77.0 | 280 | 53th | |
| HellaSwag | 87.9 | 144 | 76th | |
| Arena Elo | 1390.2 | 249 | 59th |
FAQ
What score does ERNIE 4.0 get on MMMU?
ERNIE 4.0 scores 70.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does ERNIE 4.0 rank on MMMU?
It ranks #290 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Max at 86.9.
Is ERNIE 4.0 good at MMMU?
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 MMMU score calculated?
MMMU is a multimodal 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 cost?
ERNIE 4.0 costs $11.37 per million input tokens and $45.44 per million output tokens.