Model comparison

ERNIE 5.0 0110 vs Llama 4 Scout

ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 27.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

ERNIE 5.0 0110 Baidu

41.2

Rank #129 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 18 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 9 categories and Llama 4 Scout in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.4 to 37.1.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

ERNIE 5.0 0110 and Llama 4 Scout specifications
ERNIE 5.0 0110Llama 4 Scout
ProviderBaiduMeta
Noometry Index41.227.4
Released—2025-04-05
WeightsProprietaryOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.30
Results tracked2043

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: 42.3 (#94), Llama 4 Scout: 19.9 (#334)

Coding benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Coding14551286
SWE-bench Verified (bash only)—9.1%
SciCode—17%
BigCodeBench Complete—43.1%

Agentic & Tool Use Not comparable

ERNIE 5.0 0110: —, Llama 4 Scout: 24.4 (#109)

Agentic & Tool Use benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
Berkeley Function Calling Leaderboard—28.1%

Reasoning ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 16.3 (#296), Llama 4 Scout: 9.2 (#339)

Reasoning benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Hard Prompts14461266
ARC-AGI-2—0%
Kagi LLM Benchmark—36.9%
NYT Connections (extended)10.3%—
ARC-AGI-1—0.5%
CritPt—0%
Thematic Generalization41.7%—
DTBench—57.9%
LMCA—12%
Epoch Capabilities Index—129.64
ForecastBench—57.5

Math ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 36.5 (#111), Llama 4 Scout: 18.4 (#280)

Math benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Math14371286
OTIS Mock AIME 2024-2025—7.8%
Omni-MATH—37.3%
MATH Level 5—62.3%
FrontierMath (Feb 2025 set)—0%

Knowledge ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 39.2 (#125), Llama 4 Scout: 31.8 (#208)

Knowledge benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Expert14271236
GPQA Diamond—51.8%
MMLU-Pro—74.2%
Vectara Hallucination Rate—7.7%
GPQA (HELM)—50.7%

Multimodal ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 39.1 (#49), Llama 4 Scout: 31.6 (#98)

Multimodal benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Vision12481118
SpatialViz-Bench—34.2%

Multilingual ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 54.3 (#47), Llama 4 Scout: 41.3 (#207)

Multilingual benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Non-English14361253
LMArena Chinese15121256
LMArena French14661283
LMArena German14621274
LMArena Japanese13831209
LMArena Korean14061207
LMArena Russian14461263
LMArena Spanish14731277

Instruction Following ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 74.7 (#88), Llama 4 Scout: 66.0 (#212)

Instruction Following benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Instruction Following14131248
IFEval—81.8%

Long Context ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 43.4 (#90), Llama 4 Scout: 27.5 (#289)

Long Context benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Longer Query14221265
Fiction.LiveBench—36%

Writing & Preference ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 63.4 (#64), Llama 4 Scout: 37.1 (#256)

Writing & Preference benchmarks
BenchmarkERNIE 5.0 0110Llama 4 Scout
LMArena Text14451279
LMArena Creative Writing14261249
LMArena Multi-Turn14331281
EQ-Bench Creative Writing—783
WildBench—78%

Frequently asked questions

Is ERNIE 5.0 0110 better than Llama 4 Scout?

ERNIE 5.0 0110 is the stronger model overall, scoring 41.2 to 27.4 on the Noometry Index.

Is ERNIE 5.0 0110 or Llama 4 Scout better for coding?

ERNIE 5.0 0110 scores higher on coding benchmarks: 42.3 versus 19.9 in the Noometry coding category.

How many benchmarks do ERNIE 5.0 0110 and Llama 4 Scout share?

18 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Llama 4 Scout has 43.

Related comparisons

Go deeper