Model comparison
ERNIE 5.0 0110 vs Qwen1.5-7B
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 31.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Baidu
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 7 categories and Qwen1.5-7B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.1 to 29.6.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Qwen1.5-7B | |
|---|---|---|
| Provider | Baidu | Alibaba (Qwen) |
| Noometry Index | 41.8 | 31.4 |
| Released | — | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 20 | 13 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.0 (#94), Qwen1.5-7B: 32.2 (#276)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1455 | 1107 |
Reasoning Qwen1.5-7B leads
ERNIE 5.0 0110: 17.0 (#297), Qwen1.5-7B: 20.4 (#240)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1065 |
| NYT Connections (extended) | 10.3% | — |
| Thematic Generalization | 41.7% | — |
Math ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.3 (#110), Qwen1.5-7B: 31.4 (#224)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1437 | 1080 |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.8 (#128), Qwen1.5-7B: 28.7 (#243)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1428 | 1055 |
| MMLU | — | 62.6% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), Qwen1.5-7B: —
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.1 (#49), Qwen1.5-7B: 28.5 (#271)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1436 | 1058 |
| LMArena Chinese | 1512 | 1141 |
| LMArena Russian | 1446 | 1006 |
| LMArena French | 1467 | — |
| LMArena German | 1460 | — |
| LMArena Japanese | 1382 | — |
| LMArena Korean | 1406 | — |
| LMArena Spanish | 1473 | — |
Instruction Following ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.5 (#92), Qwen1.5-7B: 54.1 (#281)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1413 | 1058 |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#95), Qwen1.5-7B: 33.1 (#266)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1422 | 1090 |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.1 (#66), Qwen1.5-7B: 29.6 (#293)
| Benchmark | ERNIE 5.0 0110 | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1445 | 1083 |
| LMArena Creative Writing | 1426 | 1035 |
| LMArena Multi-Turn | 1434 | 1062 |
Frequently asked questions
Is ERNIE 5.0 0110 better than Qwen1.5-7B?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 31.4 on the Noometry Index.
Is ERNIE 5.0 0110 or Qwen1.5-7B better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 32.2 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Qwen1.5-7B share?
12 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Qwen1.5-7B has 13.