Noometry

Model comparison

GPT-4.1 nano vs Granite 4.2 8B

Granite 4.2 8B is the stronger model overall, scoring 40.5 to 27.9 on the Noometry Index.

Last verified . 11 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Granite 4.2 8B IBM

40.5

Rank #148 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Granite 4.2 8B in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Granite 4.2 8B leads 26.6 to 8.5.
  • Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.10 / $0.40 for GPT-4.1 nano.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 131K.
  • Granite 4.2 8B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoGranite 4.2 8B
ProviderOpenAIIBM
Noometry Index27.940.5
Released2025-04-14—
WeightsProprietaryOpen
Context window1.05M131K
Max output33K118K
Input $ / M tokens$0.10$0.06
Output $ / M tokens$0.40$0.25
Results tracked3811

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Category by category

Coding Granite 4.2 8B leads

GPT-4.1 nano: 24.1 (#330), Granite 4.2 8B: 40.5 (#137)

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Coding13061380
Aider Polyglot8.9%—
SciCode25.9%—
WeirdML19%—

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.5 (#104), Granite 4.2 8B: —

BenchmarkGPT-4.1 nanoGranite 4.2 8B
Berkeley Function Calling Leaderboard33%—

Reasoning Granite 4.2 8B leads

GPT-4.1 nano: 8.5 (#349), Granite 4.2 8B: 26.6 (#131)

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Hard Prompts12861329
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
CritPt0%—
DTBench52.5%—
LMCA5.5%—
Epoch Capabilities Index129.62—

Math Not comparable

GPT-4.1 nano: 26.9 (#252), Granite 4.2 8B: —

BenchmarkGPT-4.1 nanoGranite 4.2 8B
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
LMArena Math1274—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Granite 4.2 8B leads

GPT-4.1 nano: 21.8 (#273), Granite 4.2 8B: 38.4 (#145)

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Expert12721384
GPQA Diamond48.9%—
SimpleQA Verified6%—
MMLU-Pro55%—
GPQA (HELM)50.7%—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Granite 4.2 8B: —

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Vision1063—

Multilingual Granite 4.2 8B leads

GPT-4.1 nano: 41.6 (#205), Granite 4.2 8B: 44.5 (#178)

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Non-English12601302
LMArena Chinese12701366
LMArena Russian12611285
LMArena German1288—
LMArena Japanese1198—

Instruction Following Too close to call

GPT-4.1 nano: 67.8 (#193), Granite 4.2 8B: 68.7 (#184)

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Instruction Following12671301
IFEval84.3%—

Long Context Granite 4.2 8B leads

GPT-4.1 nano: 23.7 (#296), Granite 4.2 8B: 40.3 (#159)

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Longer Query12831324
Fiction.LiveBench25%—

Writing & Preference Granite 4.2 8B leads

GPT-4.1 nano: 40.5 (#243), Granite 4.2 8B: 49.6 (#189)

BenchmarkGPT-4.1 nanoGranite 4.2 8B
LMArena Text12851320
LMArena Creative Writing12601236
LMArena Multi-Turn12771301
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than Granite 4.2 8B?

Granite 4.2 8B is the stronger model overall, scoring 40.5 to 27.9 on the Noometry Index.

Which is cheaper, GPT-4.1 nano or Granite 4.2 8B?

Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.

Is GPT-4.1 nano or Granite 4.2 8B better for coding?

Granite 4.2 8B scores higher on coding benchmarks: 40.5 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 131K.

How many benchmarks do GPT-4.1 nano and Granite 4.2 8B share?

11 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Granite 4.2 8B has 11.

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