Model comparison

Granite 4.2 8B vs Qwen2.5-Coder-32B

Granite 4.2 8B is the stronger model overall, scoring 40.0 to 32.9 on the Noometry Index.

Last verified . 11 shared benchmarks.

Granite 4.2 8B IBM

40.0

Rank #143 Confirmed

Qwen2.5-Coder-32B Alibaba (Qwen)

32.9

Rank #239 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Granite 4.2 8B scores higher in 7 categories and Qwen2.5-Coder-32B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Granite 4.2 8B leads 39.9 to 22.4.
  • Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
  • Granite 4.2 8B accepts more context: 131K tokens versus 33K.

Side by side

Granite 4.2 8B and Qwen2.5-Coder-32B specifications
Granite 4.2 8BQwen2.5-Coder-32B
ProviderIBMAlibaba (Qwen)
Noometry Index40.032.9
Released—2024-09-18
WeightsOpenOpen
Context window131K33K
Max output118K29K
Input $ / M tokens$0.06$0.66
Output $ / M tokens$0.25$1
Results tracked1131

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Category by category

Coding Granite 4.2 8B leads

Granite 4.2 8B: 39.9 (#138), Qwen2.5-Coder-32B: 22.4 (#328)

Coding benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LMArena Coding13791276
SWE-bench Verified (bash only)—9%
Aider Polyglot—16.4%
BigCodeBench Instruct—49%
LiveBench Coding—56.9%
BigCodeBench Complete—58%
HumanEval+—87.2%
MBPP+—77%

Reasoning Granite 4.2 8B leads

Granite 4.2 8B: 25.5 (#130), Qwen2.5-Coder-32B: 20.4 (#220)

Reasoning benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LMArena Hard Prompts13271251
LiveBench Reasoning—42.1%
LiveBench Data Analysis—49.9%
Epoch Capabilities Index—119.41
HellaSwag—83%
LiveBench—46.2%
WinoGrande—80.8%

Math Not comparable

Granite 4.2 8B: —, Qwen2.5-Coder-32B: 30.8 (#203)

Math benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LiveBench Math—46.6%
LMArena Math—1251
GSM8K—93%

Knowledge Granite 4.2 8B leads

Granite 4.2 8B: 37.7 (#144), Qwen2.5-Coder-32B: 32.9 (#200)

Knowledge benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LMArena Expert13801221
ARC (AI2) Challenge—70.5%
MMLU—79.1%

Multilingual Granite 4.2 8B leads

Granite 4.2 8B: 44.5 (#173), Qwen2.5-Coder-32B: 38.0 (#230)

Multilingual benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LMArena Non-English12991205
LMArena Chinese13611222
LMArena Russian12831228

Instruction Following Granite 4.2 8B leads

Granite 4.2 8B: 68.7 (#183), Qwen2.5-Coder-32B: 61.6 (#240)

Instruction Following benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LMArena Instruction Following12981223
LiveBench Instruction Following—58.7%

Long Context Granite 4.2 8B leads

Granite 4.2 8B: 40.2 (#154), Qwen2.5-Coder-32B: 37.9 (#204)

Long Context benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LMArena Longer Query13231251

Writing & Preference Granite 4.2 8B leads

Granite 4.2 8B: 49.8 (#183), Qwen2.5-Coder-32B: 41.8 (#235)

Writing & Preference benchmarks
BenchmarkGranite 4.2 8BQwen2.5-Coder-32B
LMArena Text13191230
LMArena Creative Writing12381174
LMArena Multi-Turn12991222
LiveBench Language—23.3%

Frequently asked questions

Is Granite 4.2 8B better than Qwen2.5-Coder-32B?

Granite 4.2 8B is the stronger model overall, scoring 40.0 to 32.9 on the Noometry Index.

Which is cheaper, Granite 4.2 8B or Qwen2.5-Coder-32B?

Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.

Is Granite 4.2 8B or Qwen2.5-Coder-32B better for coding?

Granite 4.2 8B scores higher on coding benchmarks: 39.9 versus 22.4 in the Noometry coding category.

Which has the bigger context window?

Granite 4.2 8B does, with 131K tokens against 33K.

How many benchmarks do Granite 4.2 8B and Qwen2.5-Coder-32B share?

11 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and Qwen2.5-Coder-32B has 31.

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