Model comparison
ERNIE 5.0 0110 vs Llama-3.3-70B-Instruct
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 30.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Baidu
MetaSummary
- They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 8 categories and Llama-3.3-70B-Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where ERNIE 5.0 0110 leads 39.3 to 15.3.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Baidu | Meta |
| Noometry Index | 41.8 | 30.6 |
| Released | — | 2024-12-06 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 20 | 43 |
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: 43.0 (#94), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1455 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 17.0 (#297), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1257 |
| SimpleBench | — | 19.9% |
| NYT Connections (extended) | 10.3% | — |
| CritPt | — | 0% |
| Thematic Generalization | 41.7% | — |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.33 |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
Math ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.3 (#110), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1437 | 1267 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.8 (#128), Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Expert | 1428 | 1225 |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| MMLU | — | 86.3% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), Llama-3.3-70B-Instruct: —
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.1 (#49), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1436 | 1236 |
| LMArena Chinese | 1512 | 1217 |
| LMArena French | 1467 | 1281 |
| LMArena German | 1460 | 1251 |
| LMArena Japanese | 1382 | 1150 |
| LMArena Korean | 1406 | 1143 |
| LMArena Russian | 1446 | 1252 |
| LMArena Spanish | 1473 | 1270 |
Instruction Following ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.5 (#92), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1413 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#95), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1422 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.1 (#66), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | ERNIE 5.0 0110 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1445 | 1274 |
| LMArena Creative Writing | 1426 | 1250 |
| LMArena Multi-Turn | 1434 | 1280 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is ERNIE 5.0 0110 better than Llama-3.3-70B-Instruct?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 30.6 on the Noometry Index.
Is ERNIE 5.0 0110 or Llama-3.3-70B-Instruct better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 31.0 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Llama-3.3-70B-Instruct share?
17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Llama-3.3-70B-Instruct has 43.