Model comparison

Dolly 2.0-12b vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 24.9 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

24.9

Rank #339 Confirmed

Muse Spark 1.3 Meta

54.4

Rank #27 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Muse Spark 1.3 in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.3 leads 73.7 to 15.3.
  • Dolly 2.0-12b has downloadable open weights; the other is API-only.

Side by side

Dolly 2.0-12b and Muse Spark 1.3 specifications
Dolly 2.0-12bMuse Spark 1.3
ProviderDatabricksMeta
Noometry Index24.954.4
Released2023-04-112026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked1734

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Category by category

Coding Muse Spark 1.3 leads

Dolly 2.0-12b: 23.0 (#327), Muse Spark 1.3: 56.1 (#18)

Coding benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Coding7761516
CursorBench—41.6%
LMArena WebDev—1655
SciCode—59.7%

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, Muse Spark 1.3: 38.6 (#28)

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Dolly 2.0-12b: 14.6 (#315), Muse Spark 1.3: 52.9 (#27)

Reasoning benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Hard Prompts8041503
Epoch Capabilities Index88.94156.89
NYT Connections (extended)—85.1%
CritPt—24.9%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Muse Spark 1.3 leads

Dolly 2.0-12b: 25.0 (#250), Muse Spark 1.3: 72.4 (#16)

Math benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Math8711497
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%

Knowledge Not comparable

Dolly 2.0-12b: —, Muse Spark 1.3: 42.0 (#92)

Knowledge benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Expert—1516
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, Muse Spark 1.3: 43.0 (#21)

Multimodal benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Vision—1310
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Dolly 2.0-12b: 17.4 (#291), Muse Spark 1.3: 57.8 (#6)

Multilingual benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Non-English8361485
LMArena Chinese8361527
LMArena French—1534
LMArena Korean—1513
LMArena Russian—1491
LMArena Spanish—1485

Instruction Following Muse Spark 1.3 leads

Dolly 2.0-12b: 38.9 (#299), Muse Spark 1.3: 77.8 (#14)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Instruction Following8141481

Long Context Not comparable

Dolly 2.0-12b: —, Muse Spark 1.3: 45.7 (#29)

Long Context benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Longer Query—1491

Writing & Preference Muse Spark 1.3 leads

Dolly 2.0-12b: 15.3 (#306), Muse Spark 1.3: 73.7 (#10)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bMuse Spark 1.3
LMArena Text8511490
LMArena Creative Writing8641450
LMArena Multi-Turn7401486
EQ-Bench Creative Writing—1906

Frequently asked questions

Is Dolly 2.0-12b better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 24.9 on the Noometry Index.

Is Dolly 2.0-12b or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 23.0 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and Muse Spark 1.3 share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Muse Spark 1.3 has 34.

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