Model comparison

Dolly 2.0-12b vs Llama 3.1-70B

Llama 3.1-70B is the stronger model overall, scoring 29.4 to 24.9 on the Noometry Index.

Last verified . 11 shared benchmarks.

Dolly 2.0-12b Databricks

24.9

Rank #339 Confirmed

Llama 3.1-70B Meta

29.4

Rank #299 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Dolly 2.0-12b scores higher in 1 category and Llama 3.1-70B in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Llama 3.1-70B leads 65.5 to 38.9.

Side by side

Dolly 2.0-12b and Llama 3.1-70B specifications
Dolly 2.0-12bLlama 3.1-70B
ProviderDatabricksMeta
Noometry Index24.929.4
Released2023-04-112024-07-23
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.40
Output $ / M tokens—$0.40
Results tracked1735

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Category by category

Coding Llama 3.1-70B leads

Dolly 2.0-12b: 23.0 (#327), Llama 3.1-70B: 29.8 (#292)

Coding benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
LMArena Coding7761260
WeirdML—9%
BigCodeBench Instruct—46.1%
BigCodeBench Complete—54.8%

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, Llama 3.1-70B: 24.9 (#104)

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
TheAgentCompany—6.9%
BALROG—27.9%

Reasoning Llama 3.1-70B leads

Dolly 2.0-12b: 14.6 (#315), Llama 3.1-70B: 20.8 (#215)

Reasoning benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
LMArena Hard Prompts8041241
Epoch Capabilities Index88.94125.91
DTBench—60%
LMCA—14.8%
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Dolly 2.0-12b leads

Dolly 2.0-12b: 25.0 (#250), Llama 3.1-70B: 12.7 (#298)

Math benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
LMArena Math8711252
OTIS Mock AIME 2024-2025—3.6%
Omni-MATH—21%
MATH Level 5—36.7%

Knowledge Not comparable

Dolly 2.0-12b: —, Llama 3.1-70B: 24.1 (#264)

Knowledge benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
MMLU26.2%80.1%
GPQA Diamond—44.2%
MMLU-Pro—65.3%
GPQA (HELM)—42.6%
LMArena Expert—1209
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
OpenBookQA39.2%—

Multilingual Llama 3.1-70B leads

Dolly 2.0-12b: 17.4 (#291), Llama 3.1-70B: 38.9 (#220)

Multilingual benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
LMArena Non-English8361219
LMArena Chinese8361215
LMArena French—1260
LMArena German—1222
LMArena Japanese—1132
LMArena Korean—1140
LMArena Russian—1234
LMArena Spanish—1253

Instruction Following Llama 3.1-70B leads

Dolly 2.0-12b: 38.9 (#299), Llama 3.1-70B: 65.5 (#218)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
LMArena Instruction Following8141231
IFEval—82.1%

Long Context Not comparable

Dolly 2.0-12b: —, Llama 3.1-70B: 37.6 (#208)

Long Context benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
LMArena Longer Query—1241

Writing & Preference Llama 3.1-70B leads

Dolly 2.0-12b: 15.3 (#306), Llama 3.1-70B: 35.6 (#262)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bLlama 3.1-70B
LMArena Text8511261
LMArena Creative Writing8641232
LMArena Multi-Turn7401256
EQ-Bench Creative Writing—784
WildBench—75.8%

Frequently asked questions

Is Dolly 2.0-12b better than Llama 3.1-70B?

Llama 3.1-70B is the stronger model overall, scoring 29.4 to 24.9 on the Noometry Index.

Is Dolly 2.0-12b or Llama 3.1-70B better for coding?

Llama 3.1-70B scores higher on coding benchmarks: 29.8 versus 23.0 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and Llama 3.1-70B share?

11 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Llama 3.1-70B has 35.

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