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GPT-5.3-Codex vs GPT-4o-mini

Detailed technical comparison between GPT-5.3-Codex (OpenAI) and GPT-4o-mini (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚑ Executive Summary & Verdict

Comparison Snapshot

GPT-5.3-Codex: 6 WinsvsGPT-4o-mini: 0 Wins
Context Leader

GPT-5.3-Codex

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-4o-mini

$0.15 / MTok
OpenAIactive

GPT-5.3-Codex

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...

View GPT-5.3-Codex Full Specs β†’
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-mini Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGPT-5.3-CodexGPT-4o-mini
ProviderOpenAIOpenAI
Context Window400,000 tokensπŸ†128,000 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-242024-07-18

API Pricing Comparison

Input Price per Million Tokens

GPT-5.3-Codex

$1.75

GPT-4o-mini

$0.15

Output Price per Million Tokens

GPT-5.3-Codex

$14.00

GPT-4o-mini

$0.60

πŸ’‘ Cost Ratio: GPT-4o-mini is 11.7x cheaper per input token than GPT-5.3-Codex.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
93.2%vs82.0%+11.2% GPT-5.3-Codex
GPT-5.3-Codex πŸ†
GPT-4o-mini
HumanEvalPython coding & logic synthesis
99.0%vs84.0%+15.0% GPT-5.3-Codex
GPT-5.3-Codex πŸ†
GPT-4o-mini
MATHComplex mathematical problem solving
81.6%vs70.2%+11.4% GPT-5.3-Codex
GPT-5.3-Codex πŸ†
GPT-4o-mini
GPQAGraduate-level expert reasoning
56.6%vs45.0%+11.6% GPT-5.3-Codex
GPT-5.3-Codex πŸ†
GPT-4o-mini
HellaSwagCommonsense reasoning and inference
88.8%vs84.7%+4.1% GPT-5.3-Codex
GPT-5.3-Codex πŸ†
GPT-4o-mini
MT-BenchMulti-turn conversation flow quality
9.1%vs8.6%+0.5% GPT-5.3-Codex
GPT-5.3-Codex πŸ†
GPT-4o-mini

GPT-5.3-Codex Quirks & Gotchas

No developer gotchas reported.

GPT-4o-mini Quirks & Gotchas

  • β–ΈUltra-low latency β€” best TTFT in the OpenAI lineup
  • β–ΈTool calling limited to single-step β€” not suitable for complex agentic pipelines

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