Noometry

Model comparison

GPT-4.1 nano vs Phi-4 Mini

Phi-4 Mini is the stronger model overall, scoring 30.4 to 27.7 on the Noometry Index.

Last verified . 2 shared benchmarks.

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

Phi-4 Mini Microsoft

30.4

Rank #280 Reported

Summary

  • They share 2 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Phi-4 Mini in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Phi-4 Mini leads 21.7 to 8.6.
  • The biggest single-benchmark swing is SciCode: 25.9% for GPT-4.1 nano and 10.8% for Phi-4 Mini.
  • Phi-4 Mini is cheaper at $0.075 / $0.30 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 128K.
  • Phi-4 Mini has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoPhi-4 Mini
ProviderOpenAIMicrosoft
Noometry Index27.730.4
Released2025-04-142024-12-11
WeightsProprietaryOpen
Context window1.05M128K
Max output33K4K
Input $ / M tokens$0.10$0.075
Output $ / M tokens$0.40$0.30
Results tracked383

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Category by category

Coding Phi-4 Mini leads

GPT-4.1 nano: 23.8 (#325), Phi-4 Mini: 27.6 (#312)

BenchmarkGPT-4.1 nanoPhi-4 Mini
SciCode25.9%10.8%
Aider Polyglot8.9%—
WeirdML19%—
LMArena Coding1306—

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.3 (#98), Phi-4 Mini: —

BenchmarkGPT-4.1 nanoPhi-4 Mini
Berkeley Function Calling Leaderboard33%—

Reasoning Phi-4 Mini leads

GPT-4.1 nano: 8.6 (#344), Phi-4 Mini: 21.7 (#190)

BenchmarkGPT-4.1 nanoPhi-4 Mini
CritPt0%0%
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
LMArena Hard Prompts1286—
DTBench52.5%—
LMCA5.5%—
Epoch Capabilities Index129.62—

Math Not comparable

GPT-4.1 nano: 25.5 (#246), Phi-4 Mini: —

BenchmarkGPT-4.1 nanoPhi-4 Mini
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
LMArena Math1274—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Phi-4 Mini leads

GPT-4.1 nano: 21.8 (#268), Phi-4 Mini: 24.8 (#261)

BenchmarkGPT-4.1 nanoPhi-4 Mini
GPQA Diamond48.9%—
SimpleQA Verified6%—
MMLU-Pro55%—
Vectara Hallucination Rate—23.5%
GPQA (HELM)50.7%—
LMArena Expert1272—

Multimodal Not comparable

GPT-4.1 nano: 28.6 (#108), Phi-4 Mini: —

BenchmarkGPT-4.1 nanoPhi-4 Mini
LMArena Vision1063—

Multilingual Not comparable

GPT-4.1 nano: 41.8 (#200), Phi-4 Mini: —

BenchmarkGPT-4.1 nanoPhi-4 Mini
LMArena Non-English1260—
LMArena Chinese1270—
LMArena German1288—
LMArena Japanese1199—
LMArena Russian1261—

Instruction Following Not comparable

GPT-4.1 nano: 68.0 (#188), Phi-4 Mini: —

BenchmarkGPT-4.1 nanoPhi-4 Mini
IFEval84.3%—
LMArena Instruction Following1267—

Long Context Not comparable

GPT-4.1 nano: 23.7 (#291), Phi-4 Mini: —

BenchmarkGPT-4.1 nanoPhi-4 Mini
Fiction.LiveBench25%—
LMArena Longer Query1283—

Writing & Preference Not comparable

GPT-4.1 nano: 40.7 (#238), Phi-4 Mini: —

BenchmarkGPT-4.1 nanoPhi-4 Mini
LMArena Text1285—
LMArena Creative Writing1260—
EQ-Bench Creative Writing946—
WildBench81.2%—
LMArena Multi-Turn1277—

Frequently asked questions

Is GPT-4.1 nano better than Phi-4 Mini?

Phi-4 Mini is the stronger model overall, scoring 30.4 to 27.7 on the Noometry Index.

Which is cheaper, GPT-4.1 nano or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.

Is GPT-4.1 nano or Phi-4 Mini better for coding?

Phi-4 Mini scores higher on coding benchmarks: 27.6 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GPT-4.1 nano and Phi-4 Mini share?

2 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Phi-4 Mini has 3.

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