Model comparison
ERNIE 5.0 0110 vs Llama 3.1-70B
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 7 categories and Llama 3.1-70B 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 35.4.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Llama 3.1-70B | |
|---|---|---|
| Provider | Baidu | Meta |
| Noometry Index | 41.8 | 29.6 |
| Released | — | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 20 | 35 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.0 (#94), Llama 3.1-70B: 30.3 (#296)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Coding | 1455 | 1260 |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| BigCodeBench Complete | — | 54.8% |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Llama 3.1-70B: 25.1 (#112)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |
Reasoning Llama 3.1-70B leads
ERNIE 5.0 0110: 17.0 (#297), Llama 3.1-70B: 21.6 (#220)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1241 |
| NYT Connections (extended) | 10.3% | — |
| Thematic Generalization | 41.7% | — |
| DTBench | — | 60% |
| LMCA | — | 14.8% |
| Epoch Capabilities Index | — | 125.92 |
Math ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.3 (#110), Llama 3.1-70B: 13.5 (#304)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Math | 1437 | 1252 |
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| Omni-MATH | — | 21% |
| MATH Level 5 | — | 36.7% |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.8 (#128), Llama 3.1-70B: 24.2 (#269)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Expert | 1428 | 1209 |
| GPQA Diamond | — | 44.2% |
| MMLU-Pro | — | 65.3% |
| GPQA (HELM) | — | 42.6% |
| MMLU | — | 80.1% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), Llama 3.1-70B: —
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.1 (#49), Llama 3.1-70B: 38.8 (#225)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 1436 | 1219 |
| LMArena Chinese | 1512 | 1215 |
| LMArena French | 1467 | 1261 |
| LMArena German | 1460 | 1222 |
| LMArena Japanese | 1382 | 1132 |
| LMArena Korean | 1406 | 1140 |
| LMArena Russian | 1446 | 1234 |
| LMArena Spanish | 1473 | 1253 |
Instruction Following ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.5 (#92), Llama 3.1-70B: 65.3 (#223)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Instruction Following | 1413 | 1231 |
| IFEval | — | 82.1% |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#95), Llama 3.1-70B: 37.6 (#214)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | 1422 | 1241 |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.1 (#66), Llama 3.1-70B: 35.4 (#267)
| Benchmark | ERNIE 5.0 0110 | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 1445 | 1261 |
| LMArena Creative Writing | 1426 | 1232 |
| LMArena Multi-Turn | 1434 | 1256 |
| EQ-Bench Creative Writing | — | 784 |
| WildBench | — | 75.8% |
Frequently asked questions
Is ERNIE 5.0 0110 better than Llama 3.1-70B?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 29.6 on the Noometry Index.
Is ERNIE 5.0 0110 or Llama 3.1-70B better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 30.3 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Llama 3.1-70B share?
17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Llama 3.1-70B has 35.