Noometry

Model comparison

GPT-4.1 mini vs Llama 3.2 1B

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 19.9 on the Noometry Index. Llama 3.2 1B costs 9.9× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.

Last verified . 20 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Llama 3.2 1B Meta

19.9

Rank #349 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.1 mini scores higher in 7 categories and Llama 3.2 1B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 7.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 0.6% for Llama 3.2 1B.
  • Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 60K.
  • Llama 3.2 1B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniLlama 3.2 1B
ProviderOpenAIMeta
Noometry Index33.519.9
Released2025-04-142024-09-24
WeightsProprietaryOpen
Context window1.05M60K
Max output33K54K
Input $ / M tokens$0.40$0.027
Output $ / M tokens$1.60$0.20
Results tracked4722

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-4.1 mini leads

GPT-4.1 mini: 30.4 (#286), Llama 3.2 1B: 20.6 (#333)

BenchmarkGPT-4.1 miniLlama 3.2 1B
BigCodeBench Instruct48.9%8.2%
LMArena Coding13671071
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Complete—11.3%
CadEval16%—

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.0 (#52), Llama 3.2 1B: 14.5 (#142)

BenchmarkGPT-4.1 miniLlama 3.2 1B
Berkeley Function Calling Leaderboard50.5%10.8%
BALROG—6.6%

Reasoning Llama 3.2 1B leads

GPT-4.1 mini: 10.9 (#335), Llama 3.2 1B: 15.6 (#304)

BenchmarkGPT-4.1 miniLlama 3.2 1B
Chess Puzzles7%0%
LMArena Hard Prompts13491044
Epoch Capabilities Index135.01101.95
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—

Math GPT-4.1 mini leads

GPT-4.1 mini: 23.1 (#264), Llama 3.2 1B: 9.7 (#308)

BenchmarkGPT-4.1 miniLlama 3.2 1B
OTIS Mock AIME 2024-202544.7%0.6%
LMArena Math13431086
FrontierMath (Tiers 1-3)6.7%—
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#183), Llama 3.2 1B: 7.2 (#307)

BenchmarkGPT-4.1 miniLlama 3.2 1B
GPQA Diamond65.8%23.9%
LMArena Expert13381007
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.2 (#77), Llama 3.2 1B: —

BenchmarkGPT-4.1 miniLlama 3.2 1B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.9 (#161), Llama 3.2 1B: 23.9 (#287)

BenchmarkGPT-4.1 miniLlama 3.2 1B
LMArena Non-English1318973
LMArena Chinese1329958
LMArena German13491014
LMArena Russian1324941
LMArena French1357—
LMArena Japanese1291—
LMArena Korean1298—
LMArena Spanish1319—

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.9 (#113), Llama 3.2 1B: 52.6 (#285)

BenchmarkGPT-4.1 miniLlama 3.2 1B
LMArena Instruction Following13321031
IFEval90.4%—

Long Context Too close to call

GPT-4.1 mini: 31.8 (#270), Llama 3.2 1B: 31.9 (#269)

BenchmarkGPT-4.1 miniLlama 3.2 1B
LMArena Longer Query13441050
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.8 (#193), Llama 3.2 1B: 21.4 (#305)

BenchmarkGPT-4.1 miniLlama 3.2 1B
LMArena Text13411055
LMArena Creative Writing13001033
EQ-Bench Creative Writing1147200
LMArena Multi-Turn13541030
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Llama 3.2 1B?

GPT-4.1 mini is the stronger model overall, scoring 33.5 to 19.9 on the Noometry Index. Llama 3.2 1B costs 9.9× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 mini 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; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or Llama 3.2 1B better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.4 versus 20.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 60K.

How many benchmarks do GPT-4.1 mini and Llama 3.2 1B share?

20 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Llama 3.2 1B has 22.

Related comparisons

Go deeper