Autonomous Repo-Level Editing
The gpt 5 codex api reasons across a 256k window to perform multi-file refactors while maintaining architectural patterns in large codebases.
GPT 5 Codex
The gpt 5 codex api by OpenAI is a frontier-class model for the full software development lifecycle. It offers a 256k context window, autonomous repo-level editing, and native vision-to-code generation with unparalleled reasoning.
Contoh Penggunaan API
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gpt-5-codex",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'GPT 5 Codex harga
Chat, agen coding & pekerjaan dokumen. Harga per 1 juta token — input, input yang di-cache, dan output ditagih secara terpisah. GPTProto 30% lebih murah daripada tarif resmi.
| Skenario | Daftar OpenAI | OpenRouter | GPTProto | Penghematan Anda / bln |
|---|---|---|---|---|
| Pribadi10M token / bln (4.8M dalam cache) | $24.60 | $25.95 | $17.22 | −$7.38≈ $88.56 / thn |
| Tim100M token / bln (48M dalam cache) | $246.00 | $259.53 | $172.20 | −$73.80≈ $885.60 / thn |
| Bisnis500M token / bln (240M dalam cache) | $1230.00 | $1297.65 | $861.00 | −$369.00≈ $4428.00 / thn |
Hemat $0.00 / bulan
Penghematan tahunan ≈ $0.00 · bayar sesuai pemakaian
Model Terkait
Semua Model
GPT 5 CodexSaat ini
OpenAI · $0.875/M input · $7/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Model
Harga: GPTProto
vs Harga Resmi
vs OpenRouter
Konteks
Stabilitas
GPT 5 CodexSaat ini
OpenAI
$0.88 / $7.00per 1 juta token
-30%
-34%
—
gpt 5 codex api Key Features
Explore the technical breakthroughs that make the gpt 5 codex api the preferred choice for modern engineering teams requiring high-reasoning gpt capabilities.
Visual UI-to-Code Generation
Converts Figma screenshots or hand-drawn wireframes into production-ready React or SwiftUI code via the gpt 5 codex api vision layer.
Advanced Debugging Reasoning
Uses internal gpt Chain-of-Thought reasoning to identify complex race conditions and memory leaks that standard linters cannot detect.
Native Test Orchestration
The gpt 5 codex api writes tests and executes them via function calling, self-correcting based on terminal output until all tests pass.
gpt 5 codex api FAQ
Find answers about gpt 5 codex api features, pricing, and integration. Learn how to leverage OpenAI's most advanced coding model via GPTProto.com.
How does gpt 5 codex handle large repositories?
The gpt 5 codex api utilizes a 256k context window to ingest entire modules. Unlike older models, this gpt version reasons across multiple files to ensure architectural patterns and dependencies remain consistent during large-scale refactors or migrations.
What is the cost of the gpt 5 codex api?
Pricing for gpt 5 codex is $5.00 per 1M input tokens and $15.00 per 1M output tokens. Through GPTProto.com, you get a 50% discount on cached inputs and an additional 5% volume discount for monthly spends over $2,000 across our aggregated gpt providers.
Can gpt 5 codex generate code from images?
Yes. The gpt 5 codex api features native vision integration. This gpt model can process Figma screenshots or system architecture diagrams and output production-ready code in frameworks like React or SwiftUI with over 90% visual accuracy.
Is code sent to the api used for training?
No. When accessing the gpt 5 codex api through our enterprise aggregation platform, your code and data are strictly excluded from training datasets. We prioritize security and privacy for all gpt-driven proprietary development projects.
What programming languages does gpt 5 codex support?
The gpt 5 codex api supports over 80 programming languages. It achieves SOTA performance in Python, TypeScript, Rust, Go, and C++. It is particularly effective for legacy migrations, such as moving COBOL monoliths to modern gpt-optimized architectures.
How do I manage rate limits for the api?
The default tier for gpt 5 codex allows 10,000 RPM. If you hit limits, our platform provides automatic failover to secondary clusters. We also offer tools to truncate large files to fit within the 256k window, ensuring reliable gpt request fulfillment.
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