Model comparison

Dolly 2.0-12b vs Llama 4 Scout

Llama 4 Scout is the stronger model overall, scoring 27.4 to 24.9 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

24.9

Rank #339 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 3 categories and Llama 4 Scout in 3 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Llama 4 Scout leads 66.0 to 38.9.

Side by side

Dolly 2.0-12b and Llama 4 Scout specifications
Dolly 2.0-12bLlama 4 Scout
ProviderDatabricksMeta
Noometry Index24.927.4
Released2023-04-112025-04-05
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.30
Results tracked1743

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Category by category

Coding Dolly 2.0-12b leads

Dolly 2.0-12b: 23.0 (#327), Llama 4 Scout: 19.9 (#334)

Coding benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
LMArena Coding7761286
SWE-bench Verified (bash only)—9.1%
SciCode—17%
BigCodeBench Complete—43.1%

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, Llama 4 Scout: 24.4 (#109)

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
Berkeley Function Calling Leaderboard—28.1%

Reasoning Dolly 2.0-12b leads

Dolly 2.0-12b: 14.6 (#315), Llama 4 Scout: 9.2 (#339)

Reasoning benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
LMArena Hard Prompts8041266
Epoch Capabilities Index88.94129.64
ARC-AGI-2—0%
Kagi LLM Benchmark—36.9%
ARC-AGI-1—0.5%
CritPt—0%
DTBench—57.9%
LMCA—12%
ForecastBench—57.5
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Dolly 2.0-12b leads

Dolly 2.0-12b: 25.0 (#250), Llama 4 Scout: 18.4 (#280)

Math benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
LMArena Math8711286
OTIS Mock AIME 2024-2025—7.8%
Omni-MATH—37.3%
MATH Level 5—62.3%
FrontierMath (Feb 2025 set)—0%

Knowledge Not comparable

Dolly 2.0-12b: —, Llama 4 Scout: 31.8 (#208)

Knowledge benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
GPQA Diamond—51.8%
MMLU-Pro—74.2%
Vectara Hallucination Rate—7.7%
GPQA (HELM)—50.7%
LMArena Expert—1236
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, Llama 4 Scout: 31.6 (#98)

Multimodal benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
LMArena Vision—1118
SpatialViz-Bench—34.2%

Multilingual Llama 4 Scout leads

Dolly 2.0-12b: 17.4 (#291), Llama 4 Scout: 41.3 (#207)

Multilingual benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
LMArena Non-English8361253
LMArena Chinese8361256
LMArena French—1283
LMArena German—1274
LMArena Japanese—1209
LMArena Korean—1207
LMArena Russian—1263
LMArena Spanish—1277

Instruction Following Llama 4 Scout leads

Dolly 2.0-12b: 38.9 (#299), Llama 4 Scout: 66.0 (#212)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
LMArena Instruction Following8141248
IFEval—81.8%

Long Context Not comparable

Dolly 2.0-12b: —, Llama 4 Scout: 27.5 (#289)

Long Context benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
Fiction.LiveBench—36%
LMArena Longer Query—1265

Writing & Preference Llama 4 Scout leads

Dolly 2.0-12b: 15.3 (#306), Llama 4 Scout: 37.1 (#256)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bLlama 4 Scout
LMArena Text8511279
LMArena Creative Writing8641249
LMArena Multi-Turn7401281
EQ-Bench Creative Writing—783
WildBench—78%

Frequently asked questions

Is Dolly 2.0-12b better than Llama 4 Scout?

Llama 4 Scout is the stronger model overall, scoring 27.4 to 24.9 on the Noometry Index.

Is Dolly 2.0-12b or Llama 4 Scout better for coding?

Dolly 2.0-12b scores higher on coding benchmarks: 23.0 versus 19.9 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and Llama 4 Scout share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Llama 4 Scout has 43.

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