Model comparison

ERNIE 5.0 0110 vs Llama 3.1-405B

ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 30.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

ERNIE 5.0 0110 Baidu

41.8

Rank #129 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 8 categories and Llama 3.1-405B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.1 to 38.9.
  • Llama 3.1-405B has downloadable open weights; the other is API-only.

Side by side

ERNIE 5.0 0110 and Llama 3.1-405B specifications
ERNIE 5.0 0110Llama 3.1-405B
ProviderBaiduMeta
Noometry Index41.830.7
Released—2024-07-23
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2042

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Category by category

Coding ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 43.0 (#94), Llama 3.1-405B: 33.1 (#262)

Coding benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Coding14551291
WeirdML—21.4%

Agentic & Tool Use Not comparable

ERNIE 5.0 0110: —, Llama 3.1-405B: 21.0 (#140)

Agentic & Tool Use benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
TheAgentCompany—7.4%
Cybench—7.5%

Reasoning Too close to call

ERNIE 5.0 0110: 17.0 (#297), Llama 3.1-405B: 16.8 (#300)

Reasoning benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Hard Prompts14451269
SimpleBench—23%
Kagi LLM Benchmark—45%
NYT Connections (extended)10.3%—
Thematic Generalization41.7%—
DTBench—61.4%
BIG-Bench Hard—82.9%
Epoch Capabilities Index—128.75
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 39.3 (#110), Llama 3.1-405B: 18.4 (#290)

Math benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Math14371281
OTIS Mock AIME 2024-2025—9.7%
Omni-MATH—24.9%
MATH Level 5—49.8%

Knowledge ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 39.8 (#128), Llama 3.1-405B: 30.4 (#227)

Knowledge benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Expert14281243
GPQA Diamond—50.9%
MMLU-Pro—72.3%
Confabulations—17.6%
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multimodal Not comparable

ERNIE 5.0 0110: 39.9 (#53), Llama 3.1-405B: —

Multimodal benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Vision1249—

Multilingual ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 54.1 (#49), Llama 3.1-405B: 40.7 (#214)

Multilingual benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Non-English14361248
LMArena Chinese15121242
LMArena French14671279
LMArena German14601252
LMArena Japanese13821208
LMArena Korean14061184
LMArena Russian14461265
LMArena Spanish14731260

Instruction Following ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 74.5 (#92), Llama 3.1-405B: 65.9 (#214)

Instruction Following benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Instruction Following14131259
IFEval—81.1%

Long Context ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 43.4 (#95), Llama 3.1-405B: 38.4 (#197)

Long Context benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Longer Query14221266

Writing & Preference ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 63.1 (#66), Llama 3.1-405B: 38.9 (#251)

Writing & Preference benchmarks
BenchmarkERNIE 5.0 0110Llama 3.1-405B
LMArena Text14451284
LMArena Creative Writing14261262
LMArena Multi-Turn14341297
EQ-Bench Creative Writing—870
WildBench—78.3%

Frequently asked questions

Is ERNIE 5.0 0110 better than Llama 3.1-405B?

ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 30.7 on the Noometry Index.

Is ERNIE 5.0 0110 or Llama 3.1-405B better for coding?

ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 33.1 in the Noometry coding category.

How many benchmarks do ERNIE 5.0 0110 and Llama 3.1-405B share?

17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Llama 3.1-405B has 42.

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