- MMLU 86.5
- MMLU-Pro 78.4
- C-Eval 90.6
- CMMLU 90.2
- LiveBench 68.9
- ChineseSimpleQA 77.1
- SimpleQA 45.9
- IFEval 88
- Multi-IF 76.6
- Sysbench 69.8
- MATH-500 96.4
- GSM8K 96.6
- CMath 96.7
- OlympicArena 75.3
- AIME'24 54.8
- AIME'25 35.1
- BBH 94.3
- MUSR 69.9
- DROP 91.1
- Zebralogic 58.1
- LiveCodeBench 38.8
- Humaneval+ 92.1
- MBPP+ 81
- FullStackBench 67.1
ERNIE-4.5-300B-A47B
ERNIE-4.5-300B-A47B ranks first on 2 of the 29 benchmarks with five or more models scored.
ERNIE-4.5-300B-A47B
Open weights Flagship
- FullStackBench 67.1% #3 /8
- SysBench 69.8% #5 /6
- MMLU-Pro 78.4% #90 /167
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BIG-Bench Hard | 94.3% | #1 of 73 | Lab model card | |
| CMMLU | 90.2% | #3 of 17 | Lab model card | |
| DROP | 91.1% | #8 of 41 | Lab model card | |
| SimpleQA | 45.9% | #15 of 60 | Lab model card | |
| Chinese SimpleQA | 77.1% | #4 of 13 | Lab model card | |
| Multi-IF | 76.6% | #9 of 28 | Lab model card | |
| MuSR | 69.9% | #2 of 6 | Lab model card | |
| MMLU | 86.5% | #45 of 131 | Lab model card | |
| C-Eval | 90.6% | #16 of 46 | Lab model card | |
| IFEval | 88% | #53 of 135 | Lab model card | |
| LLM Confabulation Leaderboard | 16% | #28 of 58 | Official leaderboard | |
| MMLU-Pro | 78.4% | #90 of 167 | Lab model card | |
| SysBench | 69.8% | #5 of 6 | Lab model card | |
| BullshitBench | 12.7% | #93 of 107 | Official leaderboard | |
| BullshitBench V2 | 4.00% | #126 of 129 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GSM8K | 96.6% | #2 of 92 | Lab model card | |
| CMATH | 96.7% | #1 of 6 | Lab model card | |
| MATH-500 | 96.4% | #28 of 70 | Lab model card | |
| AIME 2024 | 54.8% | #73 of 88 | Lab model card | |
| AIME 2025 | 35.1% | #136 of 143 | Lab model card | |
| ZebraLogic | 58.1% | #22 of 23 | Lab model card | |
| OlympicArena | 75.3% | #1 of 1 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HumanEval+ | 92.1% | #6 of 27 | Lab model card | |
| MBPP+ | 81% | #4 of 15 | Lab model card | |
| FullStackBench | 67.1% | #3 of 8 | Lab model card | |
| LiveCodeBench | 38.8% | #35 of 54 | Lab model card | |
| LiveCodeBench v6 | 38.8% | #87 of 90 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SnakeBench | 23 | #104 of 188 | Official leaderboard | |
| LisanBench | 176.3 | #94 of 133 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveBench | 68.9% | #13 of 27 | Lab model card |
Its lab's numbers put it at 126.9, number 302 of 404
The Self-Reported Index fits one score to the 20 capability results Baidu reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 124.1 to 129.7. How we compute it.
- GSM8K 96.6
- MATH-500 96.4
- BIG-Bench Hard 94.3
- HumanEval+ 92.1
- DROP 91.1
- C-Eval 90.6
- CMMLU 90.2
- IFEval 88
- MMLU 86.5
- MBPP+ 81
- MMLU-Pro 78.4
- Chinese SimpleQA 77.1
- Multi-IF 76.6
- FullStackBench 67.1
- ZebraLogic 58.1
- AIME 2024 54.8
- SimpleQA 45.9
- LiveCodeBench 38.8
- LiveCodeBench v6 38.8
- AIME 2025 35.1
Its lab's number next to a leaderboard
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 1 of them isn't in the launch post.
Capabilities
- C-Eval 90.6
- CMMLU 90.2
- MMLU 86.5
- MMLU-Pro 78.4
- LiveBench 68.9
- BIG-Bench Hard 94.3
- MuSR 69.9
- DROP 91.1
- ZebraLogic 58.1
- MATH-500 96.4
- GSM8K 96.6
- CMATH 96.7
- OlympicArena 75.3
- AIME 2024 54.8
- AIME 2025 35.1
- LiveCodeBench v6 38.8
- HumanEval+ 92.1
- MBPP+ 81
- FullStackBench 67.1
- IFEval 88
- Multi-IF 76.6
- SysBench 69.8
Hallucination
- SimpleQA 45.9
- Chinese SimpleQA 77.1