Model comparison
ERNIE 5.0 0110 vs Qwen3 32B
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 38.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Baidu
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 4 categories and Qwen3 32B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.4 to 53.1.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Qwen3 32B | |
|---|---|---|
| Provider | Baidu | Alibaba (Qwen) |
| Noometry Index | 41.2 | 38.8 |
| Released | — | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 20 | 26 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 42.3 (#94), Qwen3 32B: 37.3 (#184)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1455 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Qwen3 32B: 32.3 (#58)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Qwen3 32B leads
ERNIE 5.0 0110: 16.3 (#296), Qwen3 32B: 19.6 (#233)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Hard Prompts | 1446 | 1335 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 10.3% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| Thematic Generalization | 41.7% | — |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
Math Qwen3 32B leads
ERNIE 5.0 0110: 36.5 (#111), Qwen3 32B: 37.9 (#89)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Math | 1437 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
Knowledge Too close to call
ERNIE 5.0 0110: 39.2 (#125), Qwen3 32B: 40.0 (#112)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Expert | 1427 | 1362 |
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.1 (#49), Qwen3 32B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1248 | — |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.3 (#47), Qwen3 32B: 45.8 (#162)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1436 | 1317 |
| LMArena Chinese | 1512 | 1357 |
| LMArena German | 1462 | 1341 |
| LMArena Russian | 1446 | 1311 |
| LMArena French | 1466 | — |
| LMArena Japanese | 1383 | — |
| LMArena Korean | 1406 | — |
| LMArena Spanish | 1473 | — |
Instruction Following ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.7 (#88), Qwen3 32B: 69.1 (#174)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1413 | 1305 |
Long Context Too close to call
ERNIE 5.0 0110: 43.4 (#90), Qwen3 32B: 43.7 (#83)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1422 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.4 (#64), Qwen3 32B: 53.1 (#158)
| Benchmark | ERNIE 5.0 0110 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1445 | 1340 |
| LMArena Creative Writing | 1426 | 1297 |
| LMArena Multi-Turn | 1433 | 1331 |
Frequently asked questions
Is ERNIE 5.0 0110 better than Qwen3 32B?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 38.8 on the Noometry Index.
Is ERNIE 5.0 0110 or Qwen3 32B better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 42.3 versus 37.3 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Qwen3 32B share?
13 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Qwen3 32B has 26.