Model comparison

Dolly 2.0-12b vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 61.8 to 25.5 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

25.5

Rank #342 Confirmed

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and GPT-6 Sol in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Sol leads 87.2 to 27.3.
  • Dolly 2.0-12b has downloadable open weights; the other is API-only.

Side by side

Dolly 2.0-12b and GPT-6 Sol specifications
Dolly 2.0-12bGPT-6 Sol
ProviderDatabricksOpenAI
Noometry Index25.561.8
Released2023-04-112026-09-22
WeightsOpenProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$2
Output $ / M tokens—$10
Results tracked1745

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Category by category

Coding GPT-6 Sol leads

Dolly 2.0-12b: 23.4 (#332), GPT-6 Sol: 60.1 (#11)

Coding benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Coding7761447
DeepSWE—68.8%
FrontierCode—49.3%
LMArena WebDev—1688
SciCode—57.6%
ALE-Bench—2,462

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, GPT-6 Sol: 37.2 (#36)

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
APEX-Agents—54.3%
GDP.pdf—26.4%
Vending-Bench 2—14,428

Reasoning GPT-6 Sol leads

Dolly 2.0-12b: 15.3 (#316), GPT-6 Sol: 74.0 (#9)

Reasoning benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Hard Prompts8041418
Epoch Capabilities Index89.67162.72
ARC-AGI-2—89.6%
NYT Connections (extended)—90.1%
ARC-AGI-1—95.5%
CritPt—30.9%
EBR-Bench—53.3%
Mystery Game Puzzles—56%
DTBench—97.3%
LMCA—59.1%
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math GPT-6 Sol leads

Dolly 2.0-12b: 27.3 (#251), GPT-6 Sol: 87.2 (#7)

Math benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Math8711402
FrontierMath (Tiers 1-3)—89.8%
FrontierMath Tier 4—90%
OTIS Mock AIME 2024-2025—100%
ProofBench—83%

Knowledge Not comparable

Dolly 2.0-12b: —, GPT-6 Sol: 64.8 (#15)

Knowledge benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
GPQA Diamond—94.3%
SimpleQA Verified—60.7%
Vectara Hallucination Rate—6.5%
LMArena Expert—1439
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, GPT-6 Sol: 47.6 (#10)

Multimodal benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Vision—1245
Blueprint-Bench 2—36.9%
Furniture Assembly—58.3%

Multilingual GPT-6 Sol leads

Dolly 2.0-12b: 17.4 (#296), GPT-6 Sol: 50.5 (#118)

Multilingual benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Non-English8361385
LMArena Chinese8361405
LMArena French—1410
LMArena German—1390
LMArena Japanese—1385
LMArena Korean—1341
LMArena Russian—1401
LMArena Spanish—1384

Instruction Following GPT-6 Sol leads

Dolly 2.0-12b: 38.7 (#304), GPT-6 Sol: 74.5 (#94)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Instruction Following8141412

Long Context Not comparable

Dolly 2.0-12b: —, GPT-6 Sol: 43.1 (#108)

Long Context benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Longer Query—1411

Writing & Preference GPT-6 Sol leads

Dolly 2.0-12b: 15.2 (#311), GPT-6 Sol: 71.9 (#18)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bGPT-6 Sol
LMArena Text8511395
LMArena Creative Writing8641378
LMArena Multi-Turn7401412
EQ-Bench Creative Writing—2125

Frequently asked questions

Is Dolly 2.0-12b better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 25.5 on the Noometry Index.

Is Dolly 2.0-12b or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 23.4 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and GPT-6 Sol share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GPT-6 Sol has 45.

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