Noometry

Model comparison

Dolly 2.0-12b vs GPT-4.1

GPT-4.1 is the stronger model overall, scoring 35.7 to 24.9 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

24.9

Rank #339 Confirmed

GPT-4.1 OpenAI

35.7

Rank #215 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 2 categories and GPT-4.1 in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-4.1 leads 57.8 to 15.3.
  • Dolly 2.0-12b has downloadable open weights; the other is API-only.

Side by side

Dolly 2.0-12bGPT-4.1
ProviderDatabricksOpenAI
Noometry Index24.935.7
Released2023-04-112025-04-14
WeightsOpenProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$2
Output $ / M tokens—$8
Results tracked1752

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Category by category

Coding GPT-4.1 leads

Dolly 2.0-12b: 23.0 (#327), GPT-4.1: 34.2 (#228)

BenchmarkDolly 2.0-12bGPT-4.1
LMArena Coding7761391
SWE-bench Verified—48.5%
SWE-bench Verified (bash only)—39.6%
Aider Polyglot—52.4%
WeirdML—39%
CadEval—42%
ALE-Bench—558.1

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, GPT-4.1: 34.4 (#40)

BenchmarkDolly 2.0-12bGPT-4.1
Berkeley Function Calling Leaderboard—54%

Reasoning Dolly 2.0-12b leads

Dolly 2.0-12b: 14.6 (#315), GPT-4.1: 11.7 (#334)

BenchmarkDolly 2.0-12bGPT-4.1
LMArena Hard Prompts8041384
Epoch Capabilities Index88.94136.79
ARC-AGI-2—0.4%
SimpleBench—27%
Kagi LLM Benchmark—52.3%
ARC-AGI-1—5.5%
Chess Puzzles—6%
EnigmaEval—2.2%
DTBench—68.3%
LMCA—25.6%
ForecastBench—61.5
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Dolly 2.0-12b leads

Dolly 2.0-12b: 25.0 (#250), GPT-4.1: 21.4 (#269)

BenchmarkDolly 2.0-12bGPT-4.1
LMArena Math8711369
FrontierMath (Tiers 1-3)—6%
OTIS Mock AIME 2024-2025—38.3%
Omni-MATH—47.1%
MATH Level 5—83%
FrontierMath (Feb 2025 set)—5.5%
FrontierMath Tier 4 (v1)—0%

Knowledge Not comparable

Dolly 2.0-12b: —, GPT-4.1: 37.0 (#152)

BenchmarkDolly 2.0-12bGPT-4.1
GPQA Diamond—66.9%
Humanity's Last Exam—5.4%
SimpleQA Verified—31.1%
MMLU-Pro—81.1%
Vectara Hallucination Rate—5.6%
GPQA (HELM)—65.9%
LMArena Expert—1364
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, GPT-4.1: 37.5 (#66)

BenchmarkDolly 2.0-12bGPT-4.1
LMArena Vision—1210
GeoBench—72%

Multilingual GPT-4.1 leads

Dolly 2.0-12b: 17.4 (#291), GPT-4.1: 49.6 (#128)

BenchmarkDolly 2.0-12bGPT-4.1
LMArena Non-English8361370
LMArena Chinese8361382
LMArena French—1383
LMArena German—1380
LMArena Japanese—1320
LMArena Korean—1339
LMArena Russian—1377
LMArena Spanish—1375

Instruction Following GPT-4.1 leads

Dolly 2.0-12b: 38.9 (#299), GPT-4.1: 71.5 (#148)

BenchmarkDolly 2.0-12bGPT-4.1
LMArena Instruction Following8141367
IFEval—83.8%

Long Context Not comparable

Dolly 2.0-12b: —, GPT-4.1: 40.0 (#158)

BenchmarkDolly 2.0-12bGPT-4.1
Fiction.LiveBench—63.9%
LMArena Longer Query—1385

Writing & Preference GPT-4.1 leads

Dolly 2.0-12b: 15.3 (#306), GPT-4.1: 57.8 (#120)

BenchmarkDolly 2.0-12bGPT-4.1
LMArena Text8511383
LMArena Creative Writing8641363
LMArena Multi-Turn7401398
EQ-Bench Creative Writing—1420
WildBench—85.4%

Frequently asked questions

Is Dolly 2.0-12b better than GPT-4.1?

GPT-4.1 is the stronger model overall, scoring 35.7 to 24.9 on the Noometry Index.

Is Dolly 2.0-12b or GPT-4.1 better for coding?

GPT-4.1 scores higher on coding benchmarks: 34.2 versus 23.0 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and GPT-4.1 share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GPT-4.1 has 52.

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