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GPT-5 Mini vs GPT-5.2-Codex

Detailed technical comparison between GPT-5 Mini (OpenAI) and GPT-5.2-Codex (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-5 Mini: 3 WinsvsGPT-5.2-Codex: 3 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-5 Mini

$0.25 / MTok
OpenAIactive

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

View GPT-5 Mini Full Specs โ†’
OpenAIactive

GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

View GPT-5.2-Codex Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-5 MiniGPT-5.2-Codex
ProviderOpenAIOpenAI
Context Window400,000 tokens400,000 tokens
Agent Suitability85/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072026-01-14

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Mini

$0.25

GPT-5.2-Codex

$1.75

Output Price per Million Tokens

GPT-5 Mini

$2.00

GPT-5.2-Codex

$14.00

๐Ÿ’ก Cost Ratio: GPT-5 Mini is 7.0x cheaper per input token than GPT-5.2-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 (0โ€“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
86.5%vs93.0%+6.5% GPT-5.2-Codex
GPT-5 Mini
GPT-5.2-Codex ๐Ÿ†
HumanEvalPython coding & logic synthesis
88.0%vs99.0%+11.0% GPT-5.2-Codex
GPT-5 Mini
GPT-5.2-Codex ๐Ÿ†
MATHComplex mathematical problem solving
82.5%vs81.4%+1.1% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
GPT-5.2-Codex
GPQAGraduate-level expert reasoning
68.0%vs56.4%+11.6% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
GPT-5.2-Codex
HellaSwagCommonsense reasoning and inference
95.5%vs88.6%+6.9% GPT-5 Mini
GPT-5 Mini ๐Ÿ†
GPT-5.2-Codex
MT-BenchMulti-turn conversation flow quality
9.0%vs9.5%+0.5% GPT-5.2-Codex
GPT-5 Mini
GPT-5.2-Codex ๐Ÿ†

GPT-5 Mini Quirks & Gotchas

  • โ–ธExcellent for high-frequency classification and routing tasks
  • โ–ธTool calling reliability drops on complex multi-step chains โ€” use GPT-5 for agentic workflows

GPT-5.2-Codex Quirks & Gotchas

No developer gotchas reported.

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