Model comparison

Granite 4.2 8B vs Llama 3.2 1B

Granite 4.2 8B is the stronger model overall, scoring 40.0 to 19.9 on the Noometry Index. Llama 3.2 1B costs 1.5× less per token, which makes it the better buy when Granite 4.2 8B's lead doesn't matter for your workload.

Last verified . 11 shared benchmarks.

Granite 4.2 8B IBM

40.0

Rank #143 Confirmed

Llama 3.2 1B Meta

19.9

Rank #349 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Granite 4.2 8B scores higher in 7 categories and Llama 3.2 1B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Granite 4.2 8B leads 37.7 to 7.2.
  • Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.06 / $0.25 for Granite 4.2 8B.
  • Granite 4.2 8B accepts more context: 131K tokens versus 60K.

Side by side

Granite 4.2 8B and Llama 3.2 1B specifications
Granite 4.2 8BLlama 3.2 1B
ProviderIBMMeta
Noometry Index40.019.9
Released—2024-09-24
WeightsOpenOpen
Context window131K60K
Max output118K54K
Input $ / M tokens$0.06$0.027
Output $ / M tokens$0.25$0.20
Results tracked1122

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Category by category

Coding Granite 4.2 8B leads

Granite 4.2 8B: 39.9 (#138), Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
LMArena Coding13791071
BigCodeBench Instruct—8.2%
BigCodeBench Complete—11.3%

Agentic & Tool Use Not comparable

Granite 4.2 8B: —, Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
Berkeley Function Calling Leaderboard—10.8%
BALROG—6.6%

Reasoning Granite 4.2 8B leads

Granite 4.2 8B: 25.5 (#130), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
LMArena Hard Prompts13271044
Chess Puzzles—0%
Epoch Capabilities Index—101.95

Math Not comparable

Granite 4.2 8B: —, Llama 3.2 1B: 9.7 (#308)

Math benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
OTIS Mock AIME 2024-2025—0.6%
LMArena Math—1086

Knowledge Granite 4.2 8B leads

Granite 4.2 8B: 37.7 (#144), Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
LMArena Expert13801007
GPQA Diamond—23.9%

Multilingual Granite 4.2 8B leads

Granite 4.2 8B: 44.5 (#173), Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
LMArena Non-English1299973
LMArena Chinese1361958
LMArena Russian1283941
LMArena German—1014

Instruction Following Granite 4.2 8B leads

Granite 4.2 8B: 68.7 (#183), Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
LMArena Instruction Following12981031

Long Context Granite 4.2 8B leads

Granite 4.2 8B: 40.2 (#154), Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
LMArena Longer Query13231050

Writing & Preference Granite 4.2 8B leads

Granite 4.2 8B: 49.8 (#183), Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
BenchmarkGranite 4.2 8BLlama 3.2 1B
LMArena Text13191055
LMArena Creative Writing12381033
LMArena Multi-Turn12991030
EQ-Bench Creative Writing—200

Frequently asked questions

Is Granite 4.2 8B better than Llama 3.2 1B?

Granite 4.2 8B is the stronger model overall, scoring 40.0 to 19.9 on the Noometry Index. Llama 3.2 1B costs 1.5× less per token, which makes it the better buy when Granite 4.2 8B's lead doesn't matter for your workload.

Which is cheaper, Granite 4.2 8B or Llama 3.2 1B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Granite 4.2 8B lists at $0.06 and $0.25.

Is Granite 4.2 8B or Llama 3.2 1B better for coding?

Granite 4.2 8B scores higher on coding benchmarks: 39.9 versus 20.6 in the Noometry coding category.

Which has the bigger context window?

Granite 4.2 8B does, with 131K tokens against 60K.

How many benchmarks do Granite 4.2 8B and Llama 3.2 1B share?

11 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and Llama 3.2 1B has 22.

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