Model comparison

GPT-5.4 mini vs GPT-5-Codex

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 37.9 on the Noometry Index.

Last verified . 2 shared benchmarks.

GPT-5.4 mini OpenAI

45.0

Rank #76 Confirmed

GPT-5-Codex OpenAI

37.9

Rank #192 Reported

Summary

  • They share 2 benchmarks with published results for both. GPT-5.4 mini scores higher in 1 category and GPT-5-Codex in 2 categories; 2 gaps are clear of the uncertainty.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 37.9% for GPT-5.4 mini and 70.3% for GPT-5-Codex.
  • GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.

Side by side

GPT-5.4 mini and GPT-5-Codex specifications
GPT-5.4 miniGPT-5-Codex
ProviderOpenAIOpenAI
Noometry Index45.037.9
Released2026-03-172025-09-15
WeightsProprietaryProprietary
Context window400K400K
Max output128K128K
Input $ / M tokens$0.75$1.25
Output $ / M tokens$4.50$10
Results tracked463

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Category by category

Coding GPT-5.4 mini leads

GPT-5.4 mini: 45.2 (#72), GPT-5-Codex: 42.4 (#103)

Coding benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
WeirdML60.3%54.5%
FrontierCode27%—
LMArena WebDev1397—
SciCode49.9%—
LMArena Coding1438—
ALE-Bench1,189—

Agentic & Tool Use GPT-5-Codex leads

GPT-5.4 mini: 29.9 (#81), GPT-5-Codex: 31.0 (#72)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
Terminal-Bench—44.3%
DeepResearch Bench36.3%—

Reasoning Too close to call

GPT-5.4 mini: 30.4 (#85), GPT-5-Codex: 30.9 (#83)

Reasoning benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
Kagi LLM Benchmark37.9%70.3%
ARC-AGI-218.9%—
NYT Connections (extended)61.8%—
ARC-AGI-163.7%—
CritPt10%—
Chess Puzzles24%—
Thematic Generalization61.7%—
LMArena Hard Prompts1424—
Mystery Game Puzzles11%—
DTBench80%—
LMCA40.8%—
Epoch Capabilities Index148.84—
ForecastBench57—

Math Not comparable

GPT-5.4 mini: 45.5 (#75), GPT-5-Codex: —

Math benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
FrontierMath (Tiers 1-3)51.2%—
FrontierMath Tier 49.8%—
OTIS Mock AIME 2024-202588.9%—
ProofBench21%—
LMArena Math1419—
FrontierMath (Feb 2025 set)28.3%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge Not comparable

GPT-5.4 mini: 51.5 (#67), GPT-5-Codex: —

Knowledge benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
GPQA Diamond86.9%—
SimpleQA Verified29.4%—
Vectara Hallucination Rate5.5%—
LMArena Expert1435—

Multimodal Not comparable

GPT-5.4 mini: 39.7 (#56), GPT-5-Codex: —

Multimodal benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
LMArena Vision1245—

Multilingual Not comparable

GPT-5.4 mini: 51.9 (#96), GPT-5-Codex: —

Multilingual benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
LMArena Non-English1405—
LMArena Chinese1446—
LMArena French1440—
LMArena German1409—
LMArena Japanese1374—
LMArena Korean1368—
LMArena Russian1417—
LMArena Spanish1405—

Instruction Following Not comparable

GPT-5.4 mini: 74.1 (#102), GPT-5-Codex: —

Instruction Following benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
LMArena Instruction Following1405—

Long Context Not comparable

GPT-5.4 mini: 43.0 (#112), GPT-5-Codex: —

Long Context benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
LMArena Longer Query1407—

Writing & Preference Not comparable

GPT-5.4 mini: 64.0 (#58), GPT-5-Codex: —

Writing & Preference benchmarks
BenchmarkGPT-5.4 miniGPT-5-Codex
LMArena Text1412—
LMArena Creative Writing1370—
EQ-Bench Creative Writing1665—
LMArena Multi-Turn1429—

Frequently asked questions

Is GPT-5.4 mini better than GPT-5-Codex?

GPT-5.4 mini is the stronger model overall, scoring 45.0 to 37.9 on the Noometry Index.

Which is cheaper, GPT-5.4 mini or GPT-5-Codex?

GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

Is GPT-5.4 mini or GPT-5-Codex better for coding?

GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 42.4 in the Noometry coding category.

Which has the bigger context window?

Both accept 400K tokens.

How many benchmarks do GPT-5.4 mini and GPT-5-Codex share?

2 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and GPT-5-Codex has 3.

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