Noometry

Model comparison

Dolly 2.0-12b vs GPT-4.1 mini

GPT-4.1 mini is the stronger model overall, scoring 33.5 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 mini OpenAI

33.5

Rank #232 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 2 categories and GPT-4.1 mini in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where GPT-4.1 mini leads 73.9 to 38.9.
  • Dolly 2.0-12b has downloadable open weights; the other is API-only.

Side by side

Dolly 2.0-12bGPT-4.1 mini
ProviderDatabricksOpenAI
Noometry Index24.933.5
Released2023-04-112025-04-14
WeightsOpenProprietary
Context window—1.05M
Max output—33K
Input $ / M tokens—$0.40
Output $ / M tokens—$1.60
Results tracked1747

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Category by category

Coding GPT-4.1 mini leads

Dolly 2.0-12b: 23.0 (#327), GPT-4.1 mini: 30.4 (#286)

BenchmarkDolly 2.0-12bGPT-4.1 mini
LMArena Coding7761367
SWE-bench Verified (bash only)—23.9%
Aider Polyglot—32.4%
SciCode—40.4%
WeirdML—37.6%
BigCodeBench Instruct—48.9%
CadEval—16%

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, GPT-4.1 mini: 33.0 (#52)

BenchmarkDolly 2.0-12bGPT-4.1 mini
Berkeley Function Calling Leaderboard—50.5%

Reasoning Dolly 2.0-12b leads

Dolly 2.0-12b: 14.6 (#315), GPT-4.1 mini: 10.9 (#335)

BenchmarkDolly 2.0-12bGPT-4.1 mini
LMArena Hard Prompts8041349
Epoch Capabilities Index88.94135.01
ARC-AGI-2—0%
Kagi LLM Benchmark—48.6%
ARC-AGI-1—3.5%
CritPt—0%
Chess Puzzles—7%
Mystery Game Puzzles—7%
DTBench—68.8%
LMCA—21.1%
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Dolly 2.0-12b leads

Dolly 2.0-12b: 25.0 (#250), GPT-4.1 mini: 23.1 (#264)

BenchmarkDolly 2.0-12bGPT-4.1 mini
LMArena Math8711343
FrontierMath (Tiers 1-3)—6.7%
OTIS Mock AIME 2024-2025—44.7%
Omni-MATH—49.1%
MATH Level 5—87.3%
FrontierMath (Feb 2025 set)—4.5%

Knowledge Not comparable

Dolly 2.0-12b: —, GPT-4.1 mini: 34.7 (#183)

BenchmarkDolly 2.0-12bGPT-4.1 mini
GPQA Diamond—65.8%
SimpleQA Verified—12.7%
MMLU-Pro—78.3%
GPQA (HELM)—61.4%
LMArena Expert—1338
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, GPT-4.1 mini: 35.2 (#77)

BenchmarkDolly 2.0-12bGPT-4.1 mini
LMArena Vision—1181

Multilingual GPT-4.1 mini leads

Dolly 2.0-12b: 17.4 (#291), GPT-4.1 mini: 45.9 (#161)

BenchmarkDolly 2.0-12bGPT-4.1 mini
LMArena Non-English8361318
LMArena Chinese8361329
LMArena French—1357
LMArena German—1349
LMArena Japanese—1291
LMArena Korean—1298
LMArena Russian—1324
LMArena Spanish—1319

Instruction Following GPT-4.1 mini leads

Dolly 2.0-12b: 38.9 (#299), GPT-4.1 mini: 73.9 (#113)

BenchmarkDolly 2.0-12bGPT-4.1 mini
LMArena Instruction Following8141332
IFEval—90.4%

Long Context Not comparable

Dolly 2.0-12b: —, GPT-4.1 mini: 31.8 (#270)

BenchmarkDolly 2.0-12bGPT-4.1 mini
Fiction.LiveBench—44.4%
LMArena Longer Query—1344

Writing & Preference GPT-4.1 mini leads

Dolly 2.0-12b: 15.3 (#306), GPT-4.1 mini: 48.8 (#193)

BenchmarkDolly 2.0-12bGPT-4.1 mini
LMArena Text8511341
LMArena Creative Writing8641300
LMArena Multi-Turn7401354
EQ-Bench Creative Writing—1147
WildBench—83.8%

Frequently asked questions

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

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 24.9 on the Noometry Index.

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

GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 23.0 in the Noometry coding category.

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

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GPT-4.1 mini has 47.

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