Model comparison
ERNIE 5.1 vs Llama 3.2 3B
ERNIE 5.1 is the stronger model overall, scoring 43.8 to 28.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
Baidu
MetaSummary
- They share 13 benchmarks with published results for both. ERNIE 5.1 scores higher in 8 categories and Llama 3.2 3B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where ERNIE 5.1 leads 65.1 to 24.7.
- Llama 3.2 3B has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.1 | Llama 3.2 3B | |
|---|---|---|
| Provider | Baidu | Meta |
| Noometry Index | 43.8 | 28.9 |
| Released | — | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.33 |
| Results tracked | 19 | 18 |
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Category by category
Coding ERNIE 5.1 leads
ERNIE 5.1: 44.0 (#76), Llama 3.2 3B: 27.6 (#319)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1488 | 1098 |
| BigCodeBench Instruct | — | 23.4% |
| BigCodeBench Complete | — | 28.3% |
Agentic & Tool Use Not comparable
ERNIE 5.1: —, Llama 3.2 3B: 20.1 (#143)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
| LMArena Search | 1227 | — |
Reasoning Too close to call
ERNIE 5.1: 21.9 (#211), Llama 3.2 3B: 21.0 (#228)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1481 | 1095 |
| NYT Connections (extended) | 23.4% | — |
Math ERNIE 5.1 leads
ERNIE 5.1: 40.3 (#92), Llama 3.2 3B: 32.4 (#214)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1481 | 1126 |
Knowledge ERNIE 5.1 leads
ERNIE 5.1: 41.9 (#102), Llama 3.2 3B: 29.7 (#235)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1492 | 1090 |
Multilingual ERNIE 5.1 leads
ERNIE 5.1: 55.5 (#29), Llama 3.2 3B: 26.2 (#281)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1454 | 1019 |
| LMArena Chinese | 1508 | 1017 |
| LMArena German | 1470 | 1056 |
| LMArena Russian | 1459 | 949 |
| LMArena French | 1488 | — |
| LMArena Japanese | 1422 | — |
| LMArena Korean | 1427 | — |
| LMArena Spanish | 1473 | — |
Instruction Following ERNIE 5.1 leads
ERNIE 5.1: 76.7 (#37), Llama 3.2 3B: 56.0 (#275)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1460 | 1089 |
Long Context ERNIE 5.1 leads
ERNIE 5.1: 44.7 (#59), Llama 3.2 3B: 33.4 (#261)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1462 | 1100 |
Writing & Preference ERNIE 5.1 leads
ERNIE 5.1: 65.1 (#52), Llama 3.2 3B: 24.7 (#307)
| Benchmark | ERNIE 5.1 | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1468 | 1110 |
| LMArena Creative Writing | 1441 | 1094 |
| LMArena Multi-Turn | 1471 | 1105 |
| EQ-Bench Creative Writing | — | 595 |
Frequently asked questions
Is ERNIE 5.1 better than Llama 3.2 3B?
ERNIE 5.1 is the stronger model overall, scoring 43.8 to 28.9 on the Noometry Index.
Is ERNIE 5.1 or Llama 3.2 3B better for coding?
ERNIE 5.1 scores higher on coding benchmarks: 44.0 versus 27.6 in the Noometry coding category.
How many benchmarks do ERNIE 5.1 and Llama 3.2 3B share?
13 benchmarks have published results for both models. ERNIE 5.1 has 19 scored results on Noometry and Llama 3.2 3B has 18.