Native Multimodal Tokenization
This gpt model treats video and audio as native tokens, allowing for 40% better temporal reasoning accuracy.
GPT 5 Chat
The gpt 5 chat model represents OpenAI's latest leap in reasoning and native multimodality. With a 256k context window and agentic planning, gpt 5 chat solves complex coding and scientific challenges with unparalleled accuracy.
API Usage Examples
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gpt-5-chat",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'GPT 5 Chat pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 30% below official rates.
| Scenario | OpenAI list | OpenRouter | GPTProto | You save / mo |
|---|---|---|---|---|
| Personal10M tokens / mo (4.8M cached) | $24.60 | $25.95 | $17.22 | −$7.38≈ $88.56 / yr |
| Team100M tokens / mo (48M cached) | $246.00 | $259.53 | $172.20 | −$73.80≈ $885.60 / yr |
| Business500M tokens / mo (240M cached) | $1230.00 | $1297.65 | $861.00 | −$369.00≈ $4428.00 / yr |
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
Related Models
All Models
GPT 5 ChatCurrent
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
Price: GPTProto
vs Official
vs OpenRouter
Context
Stability
GPT 5 ChatCurrent
OpenAI
$0.88 / $7.00per 1M tokens
-30%
-34%
—
gpt 5 chat Core Model Capabilities
Explore the technical breakthroughs in gpt 5 chat that enable superior reasoning and reliability.
Agentic gpt Planning
Decompose high-level goals into sub-tasks with a 95% success rate in autonomous tool orchestration.
gpt 5 chat Coding Excellence
Achieve 91.2% on HumanEval benchmarks, enabling complex refactoring and multi-file architecture.
Structured gpt JSON Outputs
Ensure 100% adherence to nested JSON schemas for direct ingestion by production databases and APIs.
gpt 5 chat FAQ: Pricing & Features
Find answers about gpt 5 chat integration, multimodal capabilities, and how gpt 5 chat improves developer workflows on our platform.
How do I migrate to gpt 5 chat from GPT-4o?
The gpt 5 chat model is 100% backwards compatible with the OpenAI Chat Completions and Responses APIs. To migrate, simply update your model parameter to gpt-5-chat in your API calls. This gpt transition requires no schema changes, though you may want to adjust your prompts to take advantage of the new gpt reasoning_effort parameter for better logic.
Is data sent to gpt 5 chat used for training?
No. When you access gpt through our enterprise API, your data is never used to train gpt 5 chat or any other underlying gpt models. We prioritize data privacy and security, ensuring that all gpt interactions remain confidential and compliant with enterprise standards.
What is the typical gpt 5 chat latency?
The gpt 5 chat model has an average Time To First Token (TTFT) of approximately 400ms. While this gpt version uses more parameters for reasoning than smaller models, its efficiency for complex tasks often reduces the need for multiple gpt calls, leading to faster overall workflow completion.
Does gpt 5 chat support native video analysis?
Yes, gpt 5 chat features native multimodal tokenization. This allows gpt to identify specific movements or temporal events in video files with 40% higher accuracy than previous gpt versions. It treats audio and video as native gpt tokens for seamless reasoning.
What is the gpt 5 chat context window limit?
The gpt 5 chat model supports a context window of 256,000 tokens. This allows gpt to process entire codebases or long scientific papers while maintaining near-perfect 99.9% recall, making gpt 5 chat ideal for long-form data synthesis and retrieval.
Can I get enterprise billing for gpt 5 chat?
Yes, GPTProto offers unified enterprise billing for gpt 5 chat. We support monthly invoicing, volume-based gpt discounts, and consolidated rate limits across multiple gpt providers to ensure high uptime and simplified management for your gpt deployments.
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