Model comparison
ERNIE 5.0 0110 vs Qwen3 14B
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 35.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Baidu
Alibaba (Qwen)Summary
- The widest gap is in coding, where ERNIE 5.0 0110 leads 42.3 to 36.7.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Qwen3 14B | |
|---|---|---|
| Provider | Baidu | Alibaba (Qwen) |
| Noometry Index | 41.2 | 35.0 |
| Released | — | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 20 | 12 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 42.3 (#94), Qwen3 14B: 36.7 (#191)
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1455 | — |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Qwen3 14B: 29.4 (#78)
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
ERNIE 5.0 0110: 16.3 (#296), Qwen3 14B: 18.1 (#272)
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | 10.3% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| Thematic Generalization | 41.7% | — |
| LMArena Hard Prompts | 1446 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Too close to call
ERNIE 5.0 0110: 36.5 (#111), Qwen3 14B: 37.0 (#102)
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1437 | — |
Knowledge Too close to call
ERNIE 5.0 0110: 39.2 (#125), Qwen3 14B: 39.2 (#124)
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1427 | — |
Multimodal Not comparable
ERNIE 5.0 0110: 39.1 (#49), Qwen3 14B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1248 | — |
Multilingual Not comparable
ERNIE 5.0 0110: 54.3 (#47), Qwen3 14B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| 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), Qwen3 14B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1413 | — |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#90), Qwen3 14B: 38.0 (#201)
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1422 | — |
Writing & Preference Not comparable
ERNIE 5.0 0110: 63.4 (#64), Qwen3 14B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1445 | — |
| LMArena Creative Writing | 1426 | — |
| LMArena Multi-Turn | 1433 | — |
Frequently asked questions
Is ERNIE 5.0 0110 better than Qwen3 14B?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 35.0 on the Noometry Index.
Is ERNIE 5.0 0110 or Qwen3 14B better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 42.3 versus 36.7 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Qwen3 14B share?
0 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Qwen3 14B has 12.