Model comparison

GPT-5.3 Codex vs Mercury

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 37.6 on the Noometry Index.

Last verified . 0 shared benchmarks.

GPT-5.3 Codex OpenAI

45.8

Rank #69 Reported

Mercury Inception

37.6

Rank #199 Confirmed

Summary

  • The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 38.7.

Side by side

GPT-5.3 Codex and Mercury specifications
GPT-5.3 CodexMercury
ProviderOpenAIInception
Noometry Index45.837.6
Released2026-02-05—
WeightsProprietaryProprietary
Context window400K—
Max output128K—
Input $ / M tokens$1.75—
Output $ / M tokens$14—
Results tracked89

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Category by category

Coding GPT-5.3 Codex leads

GPT-5.3 Codex: 48.6 (#56), Mercury: 38.7 (#170)

Coding benchmarks
BenchmarkGPT-5.3 CodexMercury
SWE-bench Verified74.8%—
LMArena WebDev1409—
WeirdML79.3%—
LMArena Coding—1322
ALE-Bench1,655—

Agentic & Tool Use Not comparable

GPT-5.3 Codex: 48.0 (#9), Mercury: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.3 CodexMercury
Terminal-Bench78.4%—
METR Time Horizons74.5%—
Vending-Bench 25,940—

Reasoning Not comparable

GPT-5.3 Codex: —, Mercury: 17.5 (#293)

Reasoning benchmarks
BenchmarkGPT-5.3 CodexMercury
Kagi LLM Benchmark—21.6%
LMArena Hard Prompts—1285
Epoch Capabilities Index156.77—

Multilingual Not comparable

GPT-5.3 Codex: —, Mercury: 41.6 (#206)

Multilingual benchmarks
BenchmarkGPT-5.3 CodexMercury
LMArena Non-English—1260

Instruction Following Not comparable

GPT-5.3 Codex: —, Mercury: 65.2 (#224)

Instruction Following benchmarks
BenchmarkGPT-5.3 CodexMercury
LMArena Instruction Following—1239

Long Context Not comparable

GPT-5.3 Codex: —, Mercury: 38.4 (#198)

Long Context benchmarks
BenchmarkGPT-5.3 CodexMercury
LMArena Longer Query—1266

Writing & Preference Not comparable

GPT-5.3 Codex: —, Mercury: 46.2 (#221)

Writing & Preference benchmarks
BenchmarkGPT-5.3 CodexMercury
LMArena Text—1282
LMArena Creative Writing—1191
LMArena Multi-Turn—1282

Frequently asked questions

Is GPT-5.3 Codex better than Mercury?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 37.6 on the Noometry Index.

Is GPT-5.3 Codex or Mercury better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 38.7 in the Noometry coding category.

How many benchmarks do GPT-5.3 Codex and Mercury share?

0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Mercury has 9.

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