Model comparison

ERNIE 5.1 vs Llama 3.1-70B

ERNIE 5.1 is the stronger model overall, scoring 43.1 to 29.4 on the Noometry Index.

Last verified . 17 shared benchmarks.

ERNIE 5.1 Baidu

43.1

Rank #87 Confirmed

Llama 3.1-70B Meta

29.4

Rank #299 Confirmed

Summary

  • They share 17 benchmarks with published results for both. ERNIE 5.1 scores higher in 8 categories and Llama 3.1-70B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where ERNIE 5.1 leads 65.3 to 35.6.
  • Llama 3.1-70B has downloadable open weights; the other is API-only.

Side by side

ERNIE 5.1 and Llama 3.1-70B specifications
ERNIE 5.1Llama 3.1-70B
ProviderBaiduMeta
Noometry Index43.129.4
Released—2024-07-23
WeightsProprietaryOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.40
Output $ / M tokens—$0.40
Results tracked1935

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding ERNIE 5.1 leads

ERNIE 5.1: 43.4 (#78), Llama 3.1-70B: 29.8 (#292)

Coding benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Coding14881260
WeirdML—9%
BigCodeBench Instruct—46.1%
BigCodeBench Complete—54.8%

Agentic & Tool Use Not comparable

ERNIE 5.1: —, Llama 3.1-70B: 24.9 (#104)

Agentic & Tool Use benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
TheAgentCompany—6.9%
BALROG—27.9%
LMArena Search1227—

Reasoning Too close to call

ERNIE 5.1: 20.9 (#209), Llama 3.1-70B: 20.8 (#215)

Reasoning benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Hard Prompts14811241
NYT Connections (extended)23.4%—
DTBench—60%
LMCA—14.8%
Epoch Capabilities Index—125.91

Math ERNIE 5.1 leads

ERNIE 5.1: 37.5 (#96), Llama 3.1-70B: 12.7 (#298)

Math benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Math14811252
OTIS Mock AIME 2024-2025—3.6%
Omni-MATH—21%
MATH Level 5—36.7%

Knowledge ERNIE 5.1 leads

ERNIE 5.1: 41.2 (#103), Llama 3.1-70B: 24.1 (#264)

Knowledge benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Expert14911209
GPQA Diamond—44.2%
MMLU-Pro—65.3%
GPQA (HELM)—42.6%
MMLU—80.1%

Multilingual ERNIE 5.1 leads

ERNIE 5.1: 55.7 (#28), Llama 3.1-70B: 38.9 (#220)

Multilingual benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Non-English14551219
LMArena Chinese15071215
LMArena French14861260
LMArena German14701222
LMArena Japanese14221132
LMArena Korean14281140
LMArena Russian14591234
LMArena Spanish14721253

Instruction Following ERNIE 5.1 leads

ERNIE 5.1: 76.9 (#35), Llama 3.1-70B: 65.5 (#218)

Instruction Following benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Instruction Following14601231
IFEval—82.1%

Long Context ERNIE 5.1 leads

ERNIE 5.1: 44.7 (#56), Llama 3.1-70B: 37.6 (#208)

Long Context benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Longer Query14621241

Writing & Preference ERNIE 5.1 leads

ERNIE 5.1: 65.3 (#50), Llama 3.1-70B: 35.6 (#262)

Writing & Preference benchmarks
BenchmarkERNIE 5.1Llama 3.1-70B
LMArena Text14681261
LMArena Creative Writing14401232
LMArena Multi-Turn14711256
EQ-Bench Creative Writing—784
WildBench—75.8%

Frequently asked questions

Is ERNIE 5.1 better than Llama 3.1-70B?

ERNIE 5.1 is the stronger model overall, scoring 43.1 to 29.4 on the Noometry Index.

Is ERNIE 5.1 or Llama 3.1-70B better for coding?

ERNIE 5.1 scores higher on coding benchmarks: 43.4 versus 29.8 in the Noometry coding category.

How many benchmarks do ERNIE 5.1 and Llama 3.1-70B share?

17 benchmarks have published results for both models. ERNIE 5.1 has 19 scored results on Noometry and Llama 3.1-70B has 35.

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