Model comparison

Dolly 2.0-12b vs Qwen3.8 27B

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 25.5 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

25.5

Rank #342 Confirmed

Qwen3.8 27B Alibaba (Qwen)

46.0

Rank #68 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Qwen3.8 27B in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 15.2.

Side by side

Dolly 2.0-12b and Qwen3.8 27B specifications
Dolly 2.0-12bQwen3.8 27B
ProviderDatabricksAlibaba (Qwen)
Noometry Index25.546.0
Released2023-04-112026-08-14
WeightsOpenOpen
Context window—262K
Max output—33K
Input $ / M tokens—$0.99
Output $ / M tokens—$1.49
Results tracked1731

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Category by category

Coding Qwen3.8 27B leads

Dolly 2.0-12b: 23.4 (#332), Qwen3.8 27B: 50.5 (#44)

Coding benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Coding7761482
LMArena WebDev—1593
SciCode—46.6%

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, Qwen3.8 27B: 32.9 (#57)

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
APEX-Agents—47.5%

Reasoning Qwen3.8 27B leads

Dolly 2.0-12b: 15.3 (#316), Qwen3.8 27B: 41.0 (#54)

Reasoning benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Hard Prompts8041460
Epoch Capabilities Index89.67149.38
ARC-AGI-2—42.4%
NYT Connections (extended)—54.5%
ARC-AGI-1—87.5%
CritPt—5.4%
DTBench—88%
LMCA—41.4%
Surface Evolver Bench—45%
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Qwen3.8 27B leads

Dolly 2.0-12b: 27.3 (#251), Qwen3.8 27B: 37.1 (#161)

Math benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Math8711456
ProofBench—16%

Knowledge Not comparable

Dolly 2.0-12b: —, Qwen3.8 27B: 41.6 (#109)

Knowledge benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Expert—1482
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multimodal Not comparable

Dolly 2.0-12b: —, Qwen3.8 27B: 41.3 (#37)

Multimodal benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Vision—1271

Multilingual Qwen3.8 27B leads

Dolly 2.0-12b: 17.4 (#296), Qwen3.8 27B: 53.7 (#60)

Multilingual benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Non-English8361430
LMArena Chinese8361504
LMArena French—1465
LMArena German—1438
LMArena Japanese—1384
LMArena Korean—1393
LMArena Russian—1415
LMArena Spanish—1448

Instruction Following Qwen3.8 27B leads

Dolly 2.0-12b: 38.7 (#304), Qwen3.8 27B: 75.8 (#53)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Instruction Following8141439

Long Context Not comparable

Dolly 2.0-12b: —, Qwen3.8 27B: 44.3 (#70)

Long Context benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Longer Query—1450

Writing & Preference Qwen3.8 27B leads

Dolly 2.0-12b: 15.2 (#311), Qwen3.8 27B: 65.8 (#43)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bQwen3.8 27B
LMArena Text8511441
LMArena Creative Writing8641384
LMArena Multi-Turn7401441
EQ-Bench Creative Writing—1671

Frequently asked questions

Is Dolly 2.0-12b better than Qwen3.8 27B?

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 25.5 on the Noometry Index.

Is Dolly 2.0-12b or Qwen3.8 27B better for coding?

Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 23.4 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and Qwen3.8 27B share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Qwen3.8 27B has 31.

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