Noometry

Model comparison

GPT-5.3 Chat vs Phi-4

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 31.2 on the Noometry Index. Phi-4 costs 55× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Phi-4 Microsoft

31.2

Rank #279 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Phi-4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 40.5.
  • Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Phi-4 has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 ChatPhi-4
ProviderOpenAIMicrosoft
Noometry Index42.831.2
Released2026-03-032024-12-11
WeightsProprietaryOpen
Context window128K128K
Max output16K4K
Input $ / M tokens$1.75$0.07
Output $ / M tokens$14$0.14
Results tracked1837

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 41.4 (#124), Phi-4: 34.4 (#239)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Coding14081231
BigCodeBench Instruct—45.5%
LiveBench Coding—30.7%
BigCodeBench Complete—55.4%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Phi-4: 22.8 (#128)

BenchmarkGPT-5.3 ChatPhi-4
Berkeley Function Calling Leaderboard—28.8%
BALROG—11.6%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 28.5 (#102), Phi-4: 17.7 (#291)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Hard Prompts13991220
Chess Puzzles—1%
LiveBench Reasoning—47.8%
LiveBench Data Analysis—45.2%
Epoch Capabilities Index—130.42
LiveBench—41.6%

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#142), Phi-4: 20.8 (#285)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Math13891246
OTIS Mock AIME 2024-2025—13.8%
LiveBench Math—42%
MATH Level 5—64.9%

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.8 (#140), Phi-4: 32.6 (#209)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Expert13971203
GPQA Diamond—56.1%
Confabulations—29.4%
Vectara Hallucination Rate—3.7%
MMLU—84.8%

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.3 (#124), Phi-4: 37.2 (#237)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Non-English13821197
LMArena Chinese14321212
LMArena French13971224
LMArena German13841222
LMArena Japanese13521158
LMArena Korean13461151
LMArena Russian14001209
LMArena Spanish13711234

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 72.8 (#129), Phi-4: 60.4 (#251)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Instruction Following13781201
LiveBench Instruction Following—58.4%

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#120), Phi-4: 36.9 (#226)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Longer Query13961217

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.1 (#68), Phi-4: 40.5 (#244)

BenchmarkGPT-5.3 ChatPhi-4
LMArena Text13891217
LMArena Creative Writing13551182
LMArena Multi-Turn14121206
Short-Story Creative Writing—62.6%
EQ-Bench Creative Writing1690—
LiveBench Language—25.6%

Frequently asked questions

Is GPT-5.3 Chat better than Phi-4?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 31.2 on the Noometry Index. Phi-4 costs 55× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Which is cheaper, GPT-5.3 Chat or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Phi-4 better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do GPT-5.3 Chat and Phi-4 share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Phi-4 has 37.

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