Model comparison
ERNIE 5.0 0110 vs Qwen3-30B-A3B
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 38.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 6 categories and Qwen3-30B-A3B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where ERNIE 5.0 0110 leads 43.4 to 31.0.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Baidu | Alibaba (Qwen) |
| Noometry Index | 41.2 | 38.5 |
| Released | — | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 20 | 32 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 42.3 (#94), Qwen3-30B-A3B: 37.0 (#188)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1455 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Qwen3-30B-A3B: 29.5 (#75)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
ERNIE 5.0 0110: 16.3 (#296), Qwen3-30B-A3B: 21.6 (#193)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1446 | 1398 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 10.3% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| Thematic Generalization | 41.7% | — |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
Math Too close to call
ERNIE 5.0 0110: 36.5 (#111), Qwen3-30B-A3B: 36.0 (#133)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1437 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
Knowledge Qwen3-30B-A3B leads
ERNIE 5.0 0110: 39.2 (#125), Qwen3-30B-A3B: 41.7 (#96)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1427 | 1395 |
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.1 (#49), Qwen3-30B-A3B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1248 | — |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.3 (#47), Qwen3-30B-A3B: 49.8 (#126)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1436 | 1372 |
| LMArena Chinese | 1512 | 1434 |
| LMArena French | 1466 | 1419 |
| LMArena German | 1462 | 1379 |
| LMArena Japanese | 1383 | 1338 |
| LMArena Korean | 1406 | 1333 |
| LMArena Russian | 1446 | 1369 |
| LMArena Spanish | 1473 | 1403 |
Instruction Following ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.7 (#88), Qwen3-30B-A3B: 72.2 (#137)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1413 | 1364 |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#90), Qwen3-30B-A3B: 31.0 (#278)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1422 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.4 (#64), Qwen3-30B-A3B: 55.9 (#138)
| Benchmark | ERNIE 5.0 0110 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1445 | 1384 |
| LMArena Creative Writing | 1426 | 1318 |
| LMArena Multi-Turn | 1433 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is ERNIE 5.0 0110 better than Qwen3-30B-A3B?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 38.5 on the Noometry Index.
Is ERNIE 5.0 0110 or Qwen3-30B-A3B better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 42.3 versus 37.0 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Qwen3-30B-A3B share?
17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Qwen3-30B-A3B has 32.