Noometry

Model comparison

GPT-4 Turbo vs GPT-5.3 Codex

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 30.5 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

GPT-5.3 Codex OpenAI

45.8

Rank #69 Reported

Summary

  • They share 3 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and GPT-5.3 Codex in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 33.8.
  • The biggest single-benchmark swing is WeirdML: 18% for GPT-4 Turbo and 79.3% for GPT-5.3 Codex.
  • GPT-5.3 Codex is cheaper at $1.75 / $14 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • GPT-5.3 Codex accepts more context: 400K tokens versus 128K.

Side by side

GPT-4 TurboGPT-5.3 Codex
ProviderOpenAIOpenAI
Noometry Index30.545.8
Released2023-11-062026-02-05
WeightsProprietaryProprietary
Context window128K400K
Max output4K128K
Input $ / M tokens$10$1.75
Output $ / M tokens$30$14
Results tracked368

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Category by category

Coding GPT-5.3 Codex leads

GPT-4 Turbo: 33.8 (#249), GPT-5.3 Codex: 48.6 (#56)

BenchmarkGPT-4 TurboGPT-5.3 Codex
WeirdML18%79.3%
SWE-bench Verified—74.8%
LMArena WebDev—1409
BigCodeBench Instruct48.2%—
LMArena Coding1268—
BigCodeBench Complete58.2%—
ALE-Bench—1,655
HumanEval+86.6%—
MBPP+73.3%—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, GPT-5.3 Codex: 48.0 (#9)

BenchmarkGPT-4 TurboGPT-5.3 Codex
METR Time Horizons36.7%74.5%
Terminal-Bench—78.4%
Vending-Bench 2—5,940

Reasoning Not comparable

GPT-4 Turbo: 15.3 (#317), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
Epoch Capabilities Index127.25156.77
SimpleBench25.1%—
Chess Puzzles6%—
LMArena Hard Prompts1251—
DTBench61.6%—
LMCA9.8%—
ForecastBench59.4—

Math Not comparable

GPT-4 Turbo: 9.0 (#322), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.7%—
LMArena Math1272—
MATH Level 546.7%—

Knowledge Not comparable

GPT-4 Turbo: 24.3 (#268), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
GPQA Diamond46.6%—
Confabulations28.4%—
LMArena Expert1223—
MMLU81.3%—

Multimodal Not comparable

GPT-4 Turbo: 30.6 (#110), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
LMArena Vision1090—

Multilingual Not comparable

GPT-4 Turbo: 40.5 (#216), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
LMArena Non-English1245—
LMArena Chinese1242—
LMArena French1276—
LMArena German1259—
LMArena Japanese1194—
LMArena Korean1187—
LMArena Russian1259—
LMArena Spanish1260—

Instruction Following Not comparable

GPT-4 Turbo: 65.8 (#216), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
LMArena Instruction Following1249—

Long Context Not comparable

GPT-4 Turbo: 38.0 (#206), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
LMArena Longer Query1254—

Writing & Preference Not comparable

GPT-4 Turbo: 47.7 (#206), GPT-5.3 Codex: —

BenchmarkGPT-4 TurboGPT-5.3 Codex
LMArena Text1272—
LMArena Creative Writing1269—
LMArena Multi-Turn1267—

Frequently asked questions

Is GPT-4 Turbo better than GPT-5.3 Codex?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 30.5 on the Noometry Index.

Which is cheaper, GPT-4 Turbo or GPT-5.3 Codex?

GPT-5.3 Codex is cheaper. It lists at $1.75 per million input tokens and $14 per million output tokens; GPT-4 Turbo lists at $10 and $30.

Is GPT-4 Turbo or GPT-5.3 Codex better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 128K.

How many benchmarks do GPT-4 Turbo and GPT-5.3 Codex share?

3 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and GPT-5.3 Codex has 8.

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