- SimpleQA 74
- ChineseSimpleQA 86
- MMLU-Pro 83.8
- HLE 25.8
- GPQA-Diamond 86.4
- AIME 2025 89.1
- HMMT 2025 79.6
- LiveCodeBench v6 76.2
- HumanEval+ 94.5
- MBPP+ 82.5
- ZebraLogic 96.5
- BBEH 66.6
- IFEval 93.3
- MultiChallenge 66
- Multi-IF 85.6
- TAU2-Bench 78.8
- Mean of ACEBench-en 87.70 / ACEBench-zh 89.60 88.7
- BFCL v4 66.5
- BrowseComp-zh 64.7
- SpreadSheetBench 40.1
- MMMU-Pro 68.6
- MathVista 84.8
- MathVerse 85.1
- MathVision 74.3
- VisualPuzzle 64.8
- VisuLogic 32
- VLMAreBlind 91.4
- ChartQA 87.8
- AI2D 96.9
- DocVQA (val) 95.5
- OCRBench 878 (out of 1000) 87.8
- ChartXiv-RQ (DQ 89.05) 67.1
- SimpleVQA 67.6
- HallusionBench 63.9
- MMStar 75.5
- BLINK 70
- CV-Bench 87.2
- CountBench 96.5
- VideoMME (w sub) 81.3
- Video-MMMU 81.1
- MMVU 72.2
- GenEval 90.1
- VBench Overall (Quality 84.40, Semantic 83.40) 84.2
ERNIE 5.0
ERNIE 5.0 ranks first on 3 of the 41 benchmarks with five or more models scored.
48
Benchmarks with a score
3
Ranked first, out of five or more models
9
In the top three
ERNIE 5.0
Closed weights Flagship
145.8
#124 of 404
Self-Reported Index, from the lab's own numbers. No Epoch Capabilities Index score yet.
- MMMU-Pro 68.6% #54 /90
- BFCL V4 66.5% #13 /30
- SimpleVQA 67.6% #11 /30
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 | |
|---|---|---|---|---|
| Multi-IF | 85.6% | #2 of 28 | Lab model card | |
| Chinese SimpleQA | 86% | #1 of 13 | Lab model card | |
| IFEval | 93.3% | #15 of 135 | Lab model card | |
| SimpleQA | 74% | #8 of 60 | Lab model card | |
| BBEH micro average | 66.6% | #2 of 15 | Lab model card | |
| MultiChallenge | 66% | #10 of 42 | Lab model card | |
| MMLU-Pro | 83.8% | #45 of 167 | Lab model card | |
| SimpleVQA | 67.6% | #11 of 30 | Lab model card | |
| HallusionBench | 63.9% | #17 of 31 | Lab model card | |
| Humanity's Last Exam | 25.8% | #89 of 154 | Lab model card | |
| Extended NYT Connections | 10.3% | #98 of 103 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| ZebraLogic | 96.5% | #2 of 23 | Lab model card | |
| GPQA Diamond | 86.4% | #66 of 302 | Lab model card | |
| AIME 2025 | 89.1% | #56 of 143 | Lab model card | |
| HMMT 2025 | 79.6% | #37 of 54 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HumanEval+ | 94.5% | #1 of 27 | Lab model card | |
| MBPP+ | 82.5% | #2 of 15 | Lab model card | |
| LiveCodeBench v6 | 76.2% | #41 of 90 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AceBench | 88.7% | #1 of 3 | Lab model card | |
| BFCL V4 | 66.5% | #13 of 30 | Lab model card | |
| tau2-bench | 78.8% | #43 of 79 | Lab model card | |
| BrowseComp-ZH | 64.7% | #11 of 19 | Lab model card |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SpreadsheetBench | 40.1% | #6 of 6 | Lab model card |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AI2D | 96.9% | #1 of 52 | Lab model card | |
| MathVerse | 85.1% | #2 of 12 | Lab model card | |
| MMAU | 80.4% | #3 of 15 | Lab model card | |
| DocVQA | 95.5% | #8 of 36 | Lab model card | |
| BLINK | 70% | #7 of 29 | Lab model card | |
| AISHELL-1 | 0.31% | #1 of 4 | Lab model card | |
| CVBench | 87.2% | #4 of 15 | Lab model card | |
| MathVista | 84.8% | #19 of 70 | Lab model card | |
| CountBench | 96.5% | #8 of 28 | Lab model card | |
| Clotho-AQA | 73.7% | #1 of 3 | Lab model card | |
| GenEval | 90.1% | #1 of 3 | Lab model card | |
| VisualPuzzles | 64.8% | #1 of 3 | Lab model card | |
| ChartQA | 87.8% | #13 of 37 | Lab model card | |
| OCRBench | 87.8% | #12 of 34 | Lab model card | |
| MMVU | 72.2% | #12 of 26 | Lab model card | |
| MMStar | 75.5% | #19 of 36 | Lab model card | |
| Video-MME | 81.3% | #27 of 51 | Lab model card | |
| MATH-Vision (MathVision) | 74.3% | #28 of 51 | Lab model card | |
| Video-MMMU | 81.1% | #21 of 36 | Lab model card | |
| MMMU-Pro | 68.6% | #54 of 90 | Lab model card | |
| AISHELL-2 | 2.64% | #2 of 3 | Lab model card | |
| VLMs Are Blind | 91.4% | #10 of 14 | Lab model card | |
| VisuLogic | 32% | #5 of 7 | Lab model card | |
| CharXiv | 67.1% | #58 of 75 | Lab model card | |
| VBench | 84.2% | #1 of 1 | Lab model card |
Its lab's numbers put it at 145.8, number 124 of 404
The Self-Reported Index fits one score to the 38 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 144.0 to 147.5. How we compute it.
- AI2D 96.9
- CountBench 96.5
- ZebraLogic 96.5
- DocVQA 95.5
- HumanEval+ 94.5
- IFEval 93.3
- VLMs Are Blind 91.4
- AIME 2025 89.1
- ChartQA 87.8
- OCRBench 87.8
- CVBench 87.2
- GPQA Diamond 86.4
- Chinese SimpleQA 86
- Multi-IF 85.6
- MathVerse 85.1
- MathVista 84.8
- MMLU-Pro 83.8
- MBPP+ 82.5
- Video-MME 81.3
- Video-MMMU 81.1
- MMAU 80.4
- HMMT 2025 79.6
- tau2-bench 78.8
- LiveCodeBench v6 76.2
- MMStar 75.5
- MATH-Vision (MathVision) 74.3
- SimpleQA 74
- MMVU 72.2
- BLINK 70
- MMMU-Pro 68.6
- SimpleVQA 67.6
- CharXiv 67.1
- BBEH micro average 66.6
- BFCL V4 66.5
- MultiChallenge 66
- BrowseComp-ZH 64.7
- HallusionBench 63.9
- Humanity's Last Exam 25.8
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. 9 of them aren't in the launch post.
ERNIE 5.0 Technical Report Feb 4, 2026
Capabilities
- SimpleQA 74
- Chinese SimpleQA 86
- MMLU-Pro 83.8
- Humanity's Last Exam 25.8
- GPQA Diamond 86.4
- AIME 2025 89.1
- HMMT 2025 79.6
- LiveCodeBench v6 76.2
- HumanEval+ 94.5
- MBPP+ 82.5
- ZebraLogic 96.5
- BBEH micro average 66.6
- IFEval 93.3
- MultiChallenge 66
- Multi-IF 85.6
- tau2-bench 78.8
- AceBench
- BFCL V4 66.5
- BrowseComp-ZH 64.7
- SpreadsheetBench 40.1
- MMMU-Pro 68.6
- MathVista 84.8
- MathVerse 85.1
- MATH-Vision (MathVision) 74.3
- VisualPuzzles 64.8
- VisuLogic 32
- VLMs Are Blind 91.4
- ChartQA 87.8
- AI2D 96.9
- DocVQA 95.5
- OCRBench 87.8
- CharXiv 67.1
- SimpleVQA 67.6
- HallusionBench 63.9
- MMStar 75.5
- BLINK 70
- CVBench 87.2
- CountBench 96.5
- Video-MME 81.3
- Video-MMMU 81.1
- MMVU 72.2
- GenEval 90.1
- VBench 84.2
- AISHELL-1 0.31
- AISHELL-2 2.64
- WenetSpeech
- LibriSpeech
- FLEURS
- VoiceBench
- MMAU 80.4
- Clotho-AQA 73.7
- Seed-TTS-eval