Model comparison

GPT-4.1 mini vs Llama 4 Scout

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 27.7 on the Noometry Index. Llama 4 Scout costs 4.7× less per token, which makes it the better buy when GPT-4.1 mini's lead doesn't matter for your workload.

Last verified . 39 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Llama 4 Scout Meta

27.7

Rank #330 Confirmed

Summary

  • They share 39 benchmarks with published results for both. GPT-4.1 mini scores higher in 10 categories and Llama 4 Scout in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-4.1 mini leads 48.6 to 37.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 7.8% for Llama 4 Scout.
  • Llama 4 Scout is cheaper at $0.10 / $0.30 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 128K.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 mini and Llama 4 Scout specifications
GPT-4.1 miniLlama 4 Scout
ProviderOpenAIMeta
Noometry Index33.627.7
Released2025-04-142025-04-05
WeightsProprietaryOpen
Context window1.05M128K
Max output33K4K
Input $ / M tokens$0.40$0.10
Output $ / M tokens$1.60$0.30
Results tracked4743

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Category by category

Coding GPT-4.1 mini leads

GPT-4.1 mini: 30.6 (#293), Llama 4 Scout: 20.2 (#339)

Coding benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
SWE-bench Verified (bash only)23.9%9.1%
SciCode40.4%17%
LMArena Coding13671286
Aider Polyglot32.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
BigCodeBench Complete—43.1%
CadEval16%—

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.3 (#55), Llama 4 Scout: 24.6 (#119)

Agentic & Tool Use benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
Berkeley Function Calling Leaderboard50.5%28.1%

Reasoning GPT-4.1 mini leads

GPT-4.1 mini: 10.8 (#340), Llama 4 Scout: 9.1 (#345)

Reasoning benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
ARC-AGI-20%0%
Kagi LLM Benchmark48.6%36.9%
ARC-AGI-13.5%0.5%
CritPt0%0%
LMArena Hard Prompts13491266
DTBench68.8%57.9%
LMCA21.1%12%
Epoch Capabilities Index135.01129.64
Chess Puzzles7%—
Mystery Game Puzzles7%—
ForecastBench—57.5

Math GPT-4.1 mini leads

GPT-4.1 mini: 24.1 (#270), Llama 4 Scout: 19.6 (#286)

Math benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
OTIS Mock AIME 2024-202544.7%7.8%
Omni-MATH49.1%37.3%
LMArena Math13431287
MATH Level 587.3%62.3%
FrontierMath (Feb 2025 set)4.5%0%
FrontierMath (Tiers 1-3)6.7%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Llama 4 Scout: 31.9 (#217)

Knowledge benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
GPQA Diamond65.8%51.8%
MMLU-Pro78.3%74.2%
GPQA (HELM)61.4%50.7%
LMArena Expert13381235
SimpleQA Verified12.7%—
Vectara Hallucination Rate—7.7%

Multimodal GPT-4.1 mini leads

GPT-4.1 mini: 35.8 (#82), Llama 4 Scout: 32.2 (#102)

Multimodal benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
LMArena Vision11811118
SpatialViz-Bench—34.2%

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Llama 4 Scout: 41.0 (#212)

Multilingual benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
LMArena Non-English13181252
LMArena Chinese13291255
LMArena French13581282
LMArena German13511272
LMArena Japanese12901206
LMArena Korean12981207
LMArena Russian13241263
LMArena Spanish13191278

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Llama 4 Scout: 65.8 (#217)

Instruction Following benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
IFEval90.4%81.8%
LMArena Instruction Following13331248

Long Context GPT-4.1 mini leads

GPT-4.1 mini: 31.8 (#275), Llama 4 Scout: 27.5 (#294)

Long Context benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
Fiction.LiveBench44.4%36%
LMArena Longer Query13441265

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Llama 4 Scout: 37.0 (#261)

Writing & Preference benchmarks
BenchmarkGPT-4.1 miniLlama 4 Scout
LMArena Text13401279
LMArena Creative Writing13001249
EQ-Bench Creative Writing1147783
WildBench83.8%78%
LMArena Multi-Turn13541280

Frequently asked questions

Is GPT-4.1 mini better than Llama 4 Scout?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 27.7 on the Noometry Index. Llama 4 Scout costs 4.7× 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 4 Scout?

Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or Llama 4 Scout better for coding?

GPT-4.1 mini scores higher on coding benchmarks: 30.6 versus 20.2 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 128K.

How many benchmarks do GPT-4.1 mini and Llama 4 Scout share?

39 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Llama 4 Scout has 43.

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