Model comparison

Dolly 2.0-12b vs Kimi K2 (Jul 2025)

Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 24.9 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

24.9

Rank #339 Confirmed

Kimi K2 (Jul 2025) Moonshot AI

40.9

Rank #134 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Kimi K2 (Jul 2025) in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.5 to 15.3.

Side by side

Dolly 2.0-12b and Kimi K2 (Jul 2025) specifications
Dolly 2.0-12bKimi K2 (Jul 2025)
ProviderDatabricksMoonshot AI
Noometry Index24.940.9
Released2023-04-112025-07-12
WeightsOpenOpen
Context window—262K
Max output—262K
Input $ / M tokens—$0.57
Output $ / M tokens—$2.30
Results tracked1742

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Category by category

Coding Kimi K2 (Jul 2025) leads

Dolly 2.0-12b: 23.0 (#327), Kimi K2 (Jul 2025): 43.1 (#83)

Coding benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
LMArena Coding7761399
SWE-bench Verified (bash only)—63.4%
Aider Polyglot—59.1%
GSO—4.9%
WeirdML—42.8%
ALE-Bench—597.5

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, Kimi K2 (Jul 2025): 32.2 (#59)

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
Terminal-Bench—35.7%
Berkeley Function Calling Leaderboard—59.1%
METR Time Horizons—59.2%

Reasoning Kimi K2 (Jul 2025) leads

Dolly 2.0-12b: 14.6 (#315), Kimi K2 (Jul 2025): 22.7 (#173)

Reasoning benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
LMArena Hard Prompts8041384
Epoch Capabilities Index88.94146.02
SimpleBench—26.3%
Kagi LLM Benchmark—64.4%
ForecastBench—60.2
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Kimi K2 (Jul 2025) leads

Dolly 2.0-12b: 25.0 (#250), Kimi K2 (Jul 2025): 40.1 (#81)

Math benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
LMArena Math8711396
Omni-MATH—65.4%
FrontierMath (Feb 2025 set)—21.4%
FrontierMath Tier 4 (v1)—0%

Knowledge Not comparable

Dolly 2.0-12b: —, Kimi K2 (Jul 2025): 36.9 (#153)

Knowledge benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
MMLU-Pro—81.9%
Confabulations—20.4%
Vectara Hallucination Rate—17.9%
GPQA (HELM)—65.3%
LMArena Expert—1363
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multilingual Kimi K2 (Jul 2025) leads

Dolly 2.0-12b: 17.4 (#291), Kimi K2 (Jul 2025): 49.8 (#125)

Multilingual benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
LMArena Non-English8361372
LMArena Chinese8361416
LMArena French—1379
LMArena German—1386
LMArena Japanese—1349
LMArena Korean—1324
LMArena Russian—1384
LMArena Spanish—1383

Instruction Following Kimi K2 (Jul 2025) leads

Dolly 2.0-12b: 38.9 (#299), Kimi K2 (Jul 2025): 71.3 (#151)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
LMArena Instruction Following8141347
IFEval—85%

Long Context Not comparable

Dolly 2.0-12b: —, Kimi K2 (Jul 2025): 41.2 (#140)

Long Context benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
Fiction.LiveBench—66.7%
CL-bench—17.6%
LMArena Longer Query—1353

Writing & Preference Kimi K2 (Jul 2025) leads

Dolly 2.0-12b: 15.3 (#306), Kimi K2 (Jul 2025): 62.5 (#76)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bKimi K2 (Jul 2025)
LMArena Text8511380
LMArena Creative Writing8641349
LMArena Multi-Turn7401371
Short-Story Creative Writing—85.6%
EQ-Bench Creative Writing—1666
WildBench—86.2%

Frequently asked questions

Is Dolly 2.0-12b better than Kimi K2 (Jul 2025)?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 24.9 on the Noometry Index.

Is Dolly 2.0-12b or Kimi K2 (Jul 2025) better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 43.1 versus 23.0 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and Kimi K2 (Jul 2025) share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Kimi K2 (Jul 2025) has 42.

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