GPT-5.2-Codex
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
Calculation Details
Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
OpenAI👑 | 1M | 128K | 2025-08 | $2.50 | $0.25 | $15.00 | 91.25 | Standard | $0.0720 | |
OpenAI | 400K | 128K | 2025-08 | $1.75 | $0.175 | $14.00 | 90.75 | Fast | $0.0609 | |
OpenAI | 128K | 16K | 2025-08 | $1.75 | $0.175 | $14.00 | 90.75 | Standard | $0.0609 | |
OpenAI | 128K | 16K | 2025-08 | $1.75 | $0.175 | $14.00 | 88.75 | Fast | $0.0609 | |
OpenAI | 400K | 128K | 2025-08 | $1.75 | $0.175 | $14.00 | 86 | Standard | $0.0609 |
Provider
Benchmark
91.25Speed
Standard
Training Cutoff
2025-08
Context Window
1M
Max Output
128K
Input / 1M
$2.50
Cache Price / 1M
$0.25
Output / 1M
$15.00
Provider
Benchmark
90.75Speed
Fast
Training Cutoff
2025-08
Context Window
400K
Max Output
128K
Input / 1M
$1.75
Cache Price / 1M
$0.175
Output / 1M
$14.00
Provider
Benchmark
90.75Speed
Standard
Training Cutoff
2025-08
Context Window
128K
Max Output
16K
Input / 1M
$1.75
Cache Price / 1M
$0.175
Output / 1M
$14.00
Provider
Benchmark
88.75Speed
Fast
Training Cutoff
2025-08
Context Window
128K
Max Output
16K
Input / 1M
$1.75
Cache Price / 1M
$0.175
Output / 1M
$14.00
Provider
Benchmark
86Speed
Standard
Training Cutoff
2025-08
Context Window
400K
Max Output
128K
Input / 1M
$1.75
Cache Price / 1M
$0.175
Output / 1M
$14.00
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GPT-5.2-Codex Frequently Asked Questions (FAQ)
Key insights into GPT-5.2-Codex API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for GPT-5.2-Codex? How much does it cost per 1M tokens?＋
GPT-5.2-Codex (OpenAI) is priced at $1.7500 per 1 million input tokens and $14.0000 per 1 million output tokens. The output rate is approximately 8.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. What are the context window and maximum output limits of GPT-5.2-Codex?＋
GPT-5.2-Codex features a 400K context window and a maximum output limit of 128K tokens per request. It provides ample capacity for multi-turn dialogs and complex document parsing.
Q. Does GPT-5.2-Codex support Prompt Caching, and how much cost can be saved?＋
Yes, GPT-5.2-Codex supports prompt caching. Cached reads cost $0.1750 per 1M tokens, delivering an estimated 90% discount compared to standard input rates. (Minimum cache threshold: 1K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.
Q. What is the benchmark score (85.75) and performance profile of GPT-5.2-Codex?＋
GPT-5.2-Codex achieves an overall benchmark score of 85.75/100 with a "Fast" speed rating. It strikes an optimal tradeoff between high analytical capability, speed, and affordability.
Q. Which alternative models are comparable to GPT-5.2-Codex?＋
Key alternatives in similar price-to-performance tiers include GPT-5.4, GPT-5.2, GPT-5.3 Chat. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.