Model comparison
ERNIE 5.0 0110 vs o3-pro
o3-pro is the stronger model overall, scoring 42.7 to 41.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
BaiduSummary
- The widest gap is in long context, where o3-pro leads 72.1 to 43.4.
Side by side
| ERNIE 5.0 0110 | o3-pro | |
|---|---|---|
| Provider | Baidu | OpenAI |
| Noometry Index | 41.2 | 42.7 |
| Released | — | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 20 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o3-pro leads
ERNIE 5.0 0110: 42.3 (#94), o3-pro: 55.1 (#22)
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1455 | — |
Reasoning o3-pro leads
ERNIE 5.0 0110: 16.3 (#296), o3-pro: 24.1 (#152)
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 10.3% | — |
| ARC-AGI-1 | — | 59.3% |
| Thematic Generalization | 41.7% | — |
| LMArena Hard Prompts | 1446 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.43 |
Math Not comparable
ERNIE 5.0 0110: 36.5 (#111), o3-pro: —
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| LMArena Math | 1437 | — |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.2 (#125), o3-pro: 29.0 (#234)
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1427 | — |
Multimodal Not comparable
ERNIE 5.0 0110: 39.1 (#49), o3-pro: —
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| LMArena Vision | 1248 | — |
Multilingual Not comparable
ERNIE 5.0 0110: 54.3 (#47), o3-pro: —
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| LMArena Non-English | 1436 | — |
| LMArena Chinese | 1512 | — |
| LMArena French | 1466 | — |
| LMArena German | 1462 | — |
| LMArena Japanese | 1383 | — |
| LMArena Korean | 1406 | — |
| LMArena Russian | 1446 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
ERNIE 5.0 0110: 74.7 (#88), o3-pro: —
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1413 | — |
Long Context o3-pro leads
ERNIE 5.0 0110: 43.4 (#90), o3-pro: 72.1 (#1)
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1422 | — |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.4 (#64), o3-pro: 57.1 (#128)
| Benchmark | ERNIE 5.0 0110 | o3-pro |
|---|---|---|
| LMArena Text | 1445 | — |
| LMArena Creative Writing | 1426 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1433 | — |
Frequently asked questions
Is ERNIE 5.0 0110 better than o3-pro?
o3-pro is the stronger model overall, scoring 42.7 to 41.2 on the Noometry Index.
Is ERNIE 5.0 0110 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 42.3 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and o3-pro share?
0 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and o3-pro has 12.