Model comparison
ERNIE 5.1 vs Qwen2.5 7B Instruct
ERNIE 5.1 is the stronger model overall, scoring 43.8 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Baidu
Alibaba (Qwen)Summary
- The widest gap is in math, where ERNIE 5.1 leads 40.3 to 12.6.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.1 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Baidu | Alibaba (Qwen) |
| Noometry Index | 43.8 | 29.0 |
| Released | — | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 19 | 15 |
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Category by category
Coding ERNIE 5.1 leads
ERNIE 5.1: 44.0 (#76), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1488 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
ERNIE 5.1: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
| LMArena Search | 1227 | — |
Reasoning ERNIE 5.1 leads
ERNIE 5.1: 21.9 (#211), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| NYT Connections (extended) | 23.4% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1481 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math ERNIE 5.1 leads
ERNIE 5.1: 40.3 (#92), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1481 | — |
Knowledge ERNIE 5.1 leads
ERNIE 5.1: 41.9 (#102), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1492 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
ERNIE 5.1: 55.5 (#29), Qwen2.5 7B Instruct: —
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1454 | — |
| LMArena Chinese | 1508 | — |
| LMArena French | 1488 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1422 | — |
| LMArena Korean | 1427 | — |
| LMArena Russian | 1459 | — |
| LMArena Spanish | 1473 | — |
Instruction Following ERNIE 5.1 leads
ERNIE 5.1: 76.7 (#37), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1460 | — |
Long Context Not comparable
ERNIE 5.1: 44.7 (#59), Qwen2.5 7B Instruct: —
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1462 | — |
Writing & Preference ERNIE 5.1 leads
ERNIE 5.1: 65.1 (#52), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | ERNIE 5.1 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1468 | — |
| LMArena Creative Writing | 1441 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1471 | — |
Frequently asked questions
Is ERNIE 5.1 better than Qwen2.5 7B Instruct?
ERNIE 5.1 is the stronger model overall, scoring 43.8 to 29.0 on the Noometry Index.
Is ERNIE 5.1 or Qwen2.5 7B Instruct better for coding?
ERNIE 5.1 scores higher on coding benchmarks: 44.0 versus 36.5 in the Noometry coding category.
How many benchmarks do ERNIE 5.1 and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. ERNIE 5.1 has 19 scored results on Noometry and Qwen2.5 7B Instruct has 15.