Model comparison
ERNIE 5.0 0110 vs Grok 3
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 39.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
BaiduSummary
- They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 6 categories and Grok 3 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.1 to 55.8.
Side by side
| ERNIE 5.0 0110 | Grok 3 | |
|---|---|---|
| Provider | Baidu | xAI |
| Noometry Index | 41.8 | 39.9 |
| Released | — | 2025-04-09 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 20 | 40 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.0 (#94), Grok 3: 41.9 (#115)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Coding | 1455 | 1432 |
| Aider Polyglot | — | 53.3% |
| WeirdML | — | 37.2% |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Grok 3: 30.5 (#76)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| BALROG | — | 29.5% |
Reasoning ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 17.0 (#297), Grok 3: 13.7 (#333)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1434 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 36.1% |
| Kagi LLM Benchmark | — | 61.3% |
| NYT Connections (extended) | 10.3% | — |
| ARC-AGI-1 | — | 5.5% |
| Thematic Generalization | 41.7% | — |
| Epoch Capabilities Index | — | 138.33 |
Math ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.3 (#110), Grok 3: 38.0 (#145)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Math | 1437 | 1391 |
| OTIS Mock AIME 2024-2025 | — | 55.6% |
| Omni-MATH | — | 46.4% |
| MATH Level 5 | — | 88.7% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Grok 3 leads
ERNIE 5.0 0110: 39.8 (#128), Grok 3: 46.2 (#82)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Expert | 1428 | 1421 |
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), Grok 3: —
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.1 (#49), Grok 3: 52.3 (#87)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Non-English | 1436 | 1410 |
| LMArena Chinese | 1512 | 1448 |
| LMArena French | 1467 | 1460 |
| LMArena German | 1460 | 1431 |
| LMArena Japanese | 1382 | 1387 |
| LMArena Korean | 1406 | 1373 |
| LMArena Russian | 1446 | 1416 |
| LMArena Spanish | 1473 | 1417 |
Instruction Following Too close to call
ERNIE 5.0 0110: 74.5 (#92), Grok 3: 75.0 (#73)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 1413 | 1409 |
| IFEval | — | 88.4% |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#95), Grok 3: 38.7 (#192)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Longer Query | 1422 | 1439 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.1 (#66), Grok 3: 55.8 (#141)
| Benchmark | ERNIE 5.0 0110 | Grok 3 |
|---|---|---|
| LMArena Text | 1445 | 1426 |
| LMArena Creative Writing | 1426 | 1414 |
| LMArena Multi-Turn | 1434 | 1425 |
| Short-Story Creative Writing | — | 76.4% |
| EQ-Bench Creative Writing | — | 1186 |
| WildBench | — | 84.9% |
Frequently asked questions
Is ERNIE 5.0 0110 better than Grok 3?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 39.9 on the Noometry Index.
Is ERNIE 5.0 0110 or Grok 3 better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 41.9 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Grok 3 share?
17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Grok 3 has 40.