Model comparison
ERNIE 5.0 0110 vs Qwen2.5 7B Instruct
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 28.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Baidu
Alibaba (Qwen)Summary
- The widest gap is in math, where ERNIE 5.0 0110 leads 36.5 to 11.8.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Baidu | Alibaba (Qwen) |
| Noometry Index | 41.2 | 28.6 |
| Released | — | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 20 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 42.3 (#94), Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1455 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 16.3 (#296), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| NYT Connections (extended) | 10.3% | — |
| Chess Puzzles | — | 0% |
| Thematic Generalization | 41.7% | — |
| LMArena Hard Prompts | 1446 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.44 |
Math ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 36.5 (#111), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1437 | — |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.2 (#125), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1427 | — |
| MMLU | — | 72.9% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.1 (#49), Qwen2.5 7B Instruct: —
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1248 | — |
Multilingual Not comparable
ERNIE 5.0 0110: 54.3 (#47), Qwen2.5 7B Instruct: —
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| 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 ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.7 (#88), Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1413 | — |
Long Context Not comparable
ERNIE 5.0 0110: 43.4 (#90), Qwen2.5 7B Instruct: —
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1422 | — |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.4 (#64), Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | ERNIE 5.0 0110 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1445 | — |
| LMArena Creative Writing | 1426 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1433 | — |
Frequently asked questions
Is ERNIE 5.0 0110 better than Qwen2.5 7B Instruct?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 28.6 on the Noometry Index.
Is ERNIE 5.0 0110 or Qwen2.5 7B Instruct better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 42.3 versus 35.9 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Qwen2.5 7B Instruct has 15.