codex-mini-latest
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
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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 |
|---|---|---|---|---|---|---|---|---|---|---|
xAI | 2M | - | - | $2.00 | $0.20 | $6.00 | 84.75 | Slow | $0.0396 | |
xAI | 2M | - | - | $2.00 | $0.20 | $6.00 | 77.75 | Standard | $0.0396 | |
OpenAI | 200K | 100K | 2024-06 | $1.10 | $0.275 | $4.40 | 71.75 | Standard | $0.0268 | |
Anthropic👑 | 200K | 64K | 2025-07 | $1.00 | $0.10 | $5.00 | 69.5 | Fast | $0.0350 | |
OpenAI | 200K | 100K | 2023-10 | $1.10 | $0.55 | $4.40 | 62.75 | Standard | $0.0296 |
Provider
Benchmark
84.75Speed
Slow
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$2.00
Cache Price / 1M
$0.20
Output / 1M
$6.00
Provider
Benchmark
77.75Speed
Standard
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$2.00
Cache Price / 1M
$0.20
Output / 1M
$6.00
Provider
Benchmark
71.75Speed
Standard
Training Cutoff
2024-06
Context Window
200K
Max Output
100K
Input / 1M
$1.10
Cache Price / 1M
$0.275
Output / 1M
$4.40
Provider
Benchmark
69.5Speed
Fast
Training Cutoff
2025-07
Context Window
200K
Max Output
64K
Input / 1M
$1.00
Cache Price / 1M
$0.10
Output / 1M
$5.00
Provider
Benchmark
62.75Speed
Standard
Training Cutoff
2023-10
Context Window
200K
Max Output
100K
Input / 1M
$1.10
Cache Price / 1M
$0.55
Output / 1M
$4.40
All AI Models Pricing & Cost Simulator
Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.
codex-mini-latest Frequently Asked Questions (FAQ)
Key insights into codex-mini-latest API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for codex-mini-latest? How much does it cost per 1M tokens?＋
codex-mini-latest (OpenAI) is priced at $1.5000 per 1 million input tokens and $6.0000 per 1 million output tokens. The output rate is approximately 4.0x 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 codex-mini-latest?＋
codex-mini-latest features a 200K context window and a maximum output limit of 100K tokens per request. It provides ample capacity for multi-turn dialogs and complex document parsing.
Q. Does codex-mini-latest support Prompt Caching, and how much cost can be saved?＋
Yes, codex-mini-latest supports prompt caching. Cached reads cost $0.3750 per 1M tokens, delivering an estimated 75% 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 (63) and performance profile of codex-mini-latest?＋
codex-mini-latest achieves an overall benchmark score of 63/100 with a "Fast" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.
Q. Which alternative models are comparable to codex-mini-latest?＋
Key alternatives in similar price-to-performance tiers include grok-4.20-beta-0309-reasoning, grok-4.20-beta-0309-non-reasoning, o4-mini. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.