Model comparison
DeepSeek-R1-Distill-Llama-70B vs ERNIE 5.0 0110
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 37.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
BaiduSummary
- The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.1 to 49.0.
- DeepSeek-R1-Distill-Llama-70B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 | |
|---|---|---|
| Provider | DeepSeek | Baidu |
| Noometry Index | 37.8 | 41.8 |
| Released | 2025-01-20 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 20 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding ERNIE 5.0 0110 leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), ERNIE 5.0 0110: 43.0 (#94)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1455 |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), ERNIE 5.0 0110: 17.0 (#297)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| NYT Connections (extended) | — | 10.3% |
| Thematic Generalization | — | 41.7% |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1445 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math ERNIE 5.0 0110 leads
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), ERNIE 5.0 0110: 39.3 (#110)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | — | 1437 |
| MATH Level 5 | 89.9% | — |
Knowledge ERNIE 5.0 0110 leads
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), ERNIE 5.0 0110: 39.8 (#128)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| LMArena Expert | — | 1428 |
Multimodal Not comparable
DeepSeek-R1-Distill-Llama-70B: —, ERNIE 5.0 0110: 39.9 (#53)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Vision | — | 1249 |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, ERNIE 5.0 0110: 54.1 (#49)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Non-English | — | 1436 |
| LMArena Chinese | — | 1512 |
| LMArena French | — | 1467 |
| LMArena German | — | 1460 |
| LMArena Japanese | — | 1382 |
| LMArena Korean | — | 1406 |
| LMArena Russian | — | 1446 |
| LMArena Spanish | — | 1473 |
Instruction Following ERNIE 5.0 0110 leads
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), ERNIE 5.0 0110: 74.5 (#92)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1413 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, ERNIE 5.0 0110: 43.4 (#95)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Longer Query | — | 1422 |
Writing & Preference ERNIE 5.0 0110 leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), ERNIE 5.0 0110: 63.1 (#66)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Text | — | 1445 |
| LMArena Creative Writing | — | 1426 |
| LMArena Multi-Turn | — | 1434 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than ERNIE 5.0 0110?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 37.8 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or ERNIE 5.0 0110 better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 36.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and ERNIE 5.0 0110 share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and ERNIE 5.0 0110 has 20.