Model comparison

Granite 4.2 30b vs Qwen2.5 72B Instruct

Granite 4.2 30b is the stronger model overall, scoring 41.4 to 31.5 on the Noometry Index.

Last verified . 11 shared benchmarks.

Granite 4.2 30b IBM

41.4

Rank #126 Confirmed

Qwen2.5 72B Instruct Alibaba (Qwen)

31.5

Rank #259 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Granite 4.2 30b scores higher in 7 categories and Qwen2.5 72B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Granite 4.2 30b leads 38.5 to 26.9.

Side by side

Granite 4.2 30b and Qwen2.5 72B Instruct specifications
Granite 4.2 30bQwen2.5 72B Instruct
ProviderIBMAlibaba (Qwen)
Noometry Index41.431.5
Released—2024-09
WeightsOpenOpen
Context window—131K
Max output—8K
Input $ / M tokens—$1.40
Output $ / M tokens—$5.60
Results tracked1143

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Category by category

Coding Granite 4.2 30b leads

Granite 4.2 30b: 40.4 (#127), Qwen2.5 72B Instruct: 32.8 (#256)

Coding benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
LMArena Coding13941293
WeirdML—16%
BigCodeBench Instruct—45.8%
BigCodeBench Complete—55.9%

Agentic & Tool Use Not comparable

Granite 4.2 30b: —, Qwen2.5 72B Instruct: 22.0 (#124)

Agentic & Tool Use benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
TheAgentCompany—5.7%
BALROG—16.2%
METR Time Horizons—35.8%

Reasoning Granite 4.2 30b leads

Granite 4.2 30b: 26.7 (#114), Qwen2.5 72B Instruct: 21.4 (#197)

Reasoning benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
LMArena Hard Prompts13751271
DTBench—62.9%
LMCA—13.4%
BIG-Bench Hard—79.8%
Epoch Capabilities Index—129.01
ForecastBench—57.5
HellaSwag—84.8%
PIQA—82.6%
WinoGrande—82.3%

Math Not comparable

Granite 4.2 30b: —, Qwen2.5 72B Instruct: 18.1 (#281)

Math benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
OTIS Mock AIME 2024-2025—8.1%
Omni-MATH—33%
LMArena Math—1283
MATH Level 5—63.2%

Knowledge Granite 4.2 30b leads

Granite 4.2 30b: 38.5 (#134), Qwen2.5 72B Instruct: 26.9 (#247)

Knowledge benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
LMArena Expert14051245
GPQA Diamond—49.1%
MMLU-Pro—63.1%
Confabulations—19.1%
GPQA (HELM)—42.6%
ARC (AI2) Challenge—94.5%
MMLU—85.3%
TriviaQA—71.9%

Multilingual Granite 4.2 30b leads

Granite 4.2 30b: 47.4 (#146), Qwen2.5 72B Instruct: 41.2 (#208)

Multilingual benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
LMArena Non-English13401252
LMArena Chinese14151272
LMArena Russian13421264
LMArena French—1279
LMArena German—1234
LMArena Japanese—1180
LMArena Korean—1188
LMArena Spanish—1255

Instruction Following Granite 4.2 30b leads

Granite 4.2 30b: 71.3 (#150), Qwen2.5 72B Instruct: 65.7 (#216)

Instruction Following benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
LMArena Instruction Following13461254
IFEval—80.6%

Long Context Granite 4.2 30b leads

Granite 4.2 30b: 41.4 (#135), Qwen2.5 72B Instruct: 38.9 (#183)

Long Context benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
LMArena Longer Query13591282

Writing & Preference Granite 4.2 30b leads

Granite 4.2 30b: 54.3 (#147), Qwen2.5 72B Instruct: 46.9 (#210)

Writing & Preference benchmarks
BenchmarkGranite 4.2 30bQwen2.5 72B Instruct
LMArena Text13631269
LMArena Creative Writing12941221
LMArena Multi-Turn13401272
WildBench—80.2%

Frequently asked questions

Is Granite 4.2 30b better than Qwen2.5 72B Instruct?

Granite 4.2 30b is the stronger model overall, scoring 41.4 to 31.5 on the Noometry Index.

Is Granite 4.2 30b or Qwen2.5 72B Instruct better for coding?

Granite 4.2 30b scores higher on coding benchmarks: 40.4 versus 32.8 in the Noometry coding category.

How many benchmarks do Granite 4.2 30b and Qwen2.5 72B Instruct share?

11 benchmarks have published results for both models. Granite 4.2 30b has 11 scored results on Noometry and Qwen2.5 72B Instruct has 43.

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