GPT-5 Codex vs GPT-4o-mini
Detailed technical comparison between GPT-5 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.
Comparison Snapshot
GPT-5 Codex
400,000 tokensTie
Equal CapabilityTie
Equal SpeedGPT-4o-mini
$0.15 / MTokGPT-5 Codex
GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
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...
Technical Specifications
๐ = Superior Spec| Specification | GPT-5 Codex | GPT-4o-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Context Window | 400,000 tokens๐ | 128,000 tokens |
| Agent Suitability | N/A | 82/100 |
| Time to First Token (TTFT) | N/A | 150 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-09-23 | 2024-07-18 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5 Codex
$1.25
GPT-4o-mini
$0.15
Output Price per Million Tokens
GPT-5 Codex
$10.00
GPT-4o-mini
$0.60
๐ก Cost Ratio: GPT-4o-mini is 8.3x cheaper per input token than GPT-5 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 (0โ100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
GPT-5 Codex Quirks & Gotchas
No developer gotchas reported.
GPT-4o-mini Quirks & Gotchas
- โธUltra-low latency โ best TTFT in the OpenAI lineup
- โธTool calling limited to single-step โ not suitable for complex agentic pipelines
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