Model comparison

Dolly 2.0-12b vs o1

o1 is the stronger model overall, scoring 40.9 to 25.5 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

25.5

Rank #342 Confirmed

o1 OpenAI

40.9

Rank #143 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and o1 in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where o1 leads 55.6 to 15.2.
  • Dolly 2.0-12b has downloadable open weights; the other is API-only.

Side by side

Dolly 2.0-12b and o1 specifications
Dolly 2.0-12bo1
ProviderDatabricksOpenAI
Noometry Index25.540.9
Released2023-04-112024-09-12
WeightsOpenProprietary
Context window—200K
Max output—100K
Input $ / M tokens—$15
Output $ / M tokens—$60
Results tracked1752

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Category by category

Coding o1 leads

Dolly 2.0-12b: 23.4 (#332), o1: 46.1 (#70)

Coding benchmarks
BenchmarkDolly 2.0-12bo1
LMArena Coding7761367
Aider Polyglot—61.7%
WeirdML—47.6%
LiveBench Coding—69.7%
CadEval—56%
HumanEval+—89%
MBPP+—80.2%

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, o1: 24.6 (#117)

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bo1
Cybench—10%
METR Time Horizons—51.1%

Reasoning o1 leads

Dolly 2.0-12b: 15.3 (#316), o1: 27.9 (#111)

Reasoning benchmarks
BenchmarkDolly 2.0-12bo1
LMArena Hard Prompts8041371
Epoch Capabilities Index89.67141.91
SimpleBench—41.7%
ARC-AGI-1—30.7%
Chess Puzzles—15%
EnigmaEval—5.7%
LiveBench Reasoning—91.6%
DTBench—74.7%
LiveBench Data Analysis—65.5%
LMCA—22.3%
HellaSwag70.8%—
LiveBench—75.7%
PIQA75.4%—
WinoGrande61.8%—

Math o1 leads

Dolly 2.0-12b: 27.3 (#251), o1: 36.1 (#175)

Math benchmarks
BenchmarkDolly 2.0-12bo1
LMArena Math8711388
FrontierMath (Tiers 1-3)—14.7%
OTIS Mock AIME 2024-2025—73.3%
LiveBench Math—80.3%
MATH Level 5—94.7%
FrontierMath (Feb 2025 set)—9.3%

Knowledge Not comparable

Dolly 2.0-12b: —, o1: 41.5 (#110)

Knowledge benchmarks
BenchmarkDolly 2.0-12bo1
GPQA Diamond—76.8%
Humanity's Last Exam—8%
SimpleQA Verified—41.1%
Confabulations—11.7%
LMArena Expert—1361
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, o1: 34.2 (#93)

Multimodal benchmarks
BenchmarkDolly 2.0-12bo1
LMArena Vision—1168
GeoBench—80%
VPCT—37%
SpatialViz-Bench—41.4%

Multilingual o1 leads

Dolly 2.0-12b: 17.4 (#296), o1: 48.6 (#142)

Multilingual benchmarks
BenchmarkDolly 2.0-12bo1
LMArena Non-English8361358
LMArena Chinese8361394
LMArena French—1344
LMArena German—1337
LMArena Japanese—1346
LMArena Korean—1396
LMArena Russian—1356
LMArena Spanish—1345

Instruction Following o1 leads

Dolly 2.0-12b: 38.7 (#304), o1: 74.8 (#86)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bo1
LMArena Instruction Following8141367
LiveBench Instruction Following—81.5%

Long Context Not comparable

Dolly 2.0-12b: —, o1: 50.3 (#9)

Long Context benchmarks
BenchmarkDolly 2.0-12bo1
Fiction.LiveBench—83.3%
LMArena Longer Query—1378

Writing & Preference o1 leads

Dolly 2.0-12b: 15.2 (#311), o1: 55.6 (#144)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bo1
LMArena Text8511366
LMArena Creative Writing8641348
LMArena Multi-Turn7401369
Short-Story Creative Writing—70.2%
LiveBench Language—65.4%

Frequently asked questions

Is Dolly 2.0-12b better than o1?

o1 is the stronger model overall, scoring 40.9 to 25.5 on the Noometry Index.

Is Dolly 2.0-12b or o1 better for coding?

o1 scores higher on coding benchmarks: 46.1 versus 23.4 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and o1 share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and o1 has 52.

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