Native Multimodality
Processes text, audio, and images in one pass for low-latency multimodal reasoning and vision tasks.
Chatgpt 4o Latest
chatgpt 4o latest provides the exact dynamic RLHF tuning and multimodal performance seen in ChatGPT. With 128k context and low latency, it is the premier choice for agentic workflows and complex vision tasks on GPTProto.com.
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": "chatgpt-4o-latest",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Chatgpt 4o Latest pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 30% below official rates.
Your usage
OpenAI · ≈ 100M tokens/mo (0M cached)
OpenRouter
List + 5.5% credit fee
$738.50
per month
Input (non-cached)$422
Output$316.50
OpenAI
Direct from OpenAI (list price)
$700
per month
Input (non-cached)$400
Output$300
BEST VALUE
GPTProto
30% off official
$490
per month
After discount$490
Effective$490
Monthly cost by source
OpenRouter
$738.50
OpenAI
$700
GPTProto
$490
Save $210 / month
on GPTProto vs OpenAI (−30%)
Annual savings ≈ $2,520 · pay as you go
GPTProto applies a per-model discount (10–30% off official) on top of bonus credits — every unit costs less than going direct.
Related Models
All Models
| Model | Input → Output | ||||
|---|---|---|---|---|---|
| — | $3.50 / $10.50 per 1M | — | Input: Text Output: Text | |
| — | — | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.05M | $0.79 / $2.38 per 1M | — / $0.04 per 1M | Input: Text Output: Text | ||
| 1.05M | $8.00 / $40.00 per 1M | $10.00 / $0.80 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| — | 1.31M | $0.15 / $0.50 per 1M | — / $0.03 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | |
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.31M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | — / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $2.70 / $13.50 per 1M | $0.27 / $0.27 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.16 / $0.96 per 1M | $0.20 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.60 / $9.60 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $3.20 / $16.00 per 1M | $4.00 / $0.32 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | $0.30 / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $9.00 per 1M | $2.25 / $0.18 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.48 / $0.96 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| — | $1.00 / $8.00 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $0.36 / $1.44 per 1M | $0.07 / $0.07 per 1M | Input: TextInput: Document Output: Text | ||
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: Text Output: Text | |
| 1M | $0.75 / $1.50 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: Image Output: Text | ||
| 1.05M | $24.00 / $144.00 per 1M | — | Input: TextInput: ImageInput: Document Output: Text | ||
| 262K | $0.85 / $3.60 per 1M | $0.14 / $0.14 per 1M | Input: TextInput: Document Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.02 / $0.18 per 1M | — | Input: TextInput: Image Output: Text |
Key chatgpt 4o latest Features
Explore the standout technical capabilities of the chatgpt 4o latest model.
Coding Proficiency
Ranks at the top of benchmarks like HumanEval (90.2%) for debugging and generating complex code.
Strict JSON Mode
Guarantees 100% adherence to your defined JSON schemas for reliable database ingestion and tool use.
Dynamic RLHF
Automatically receives the latest conversational tuning and safety updates from OpenAI's flagship series.
chatgpt 4o latest FAQ
Find answers about chatgpt 4o latest. We cover technical specs, multimodal capabilities, and how this dynamic version of chatgpt compares to static models for your API integration.
How does chatgpt 4o latest differ from static snapshots?
Unlike static snapshots like gpt-4o-2024-08-06, the chatgpt 4o latest model is dynamic. It is pinned to the current version of GPT-4o used in the ChatGPT consumer product. This means you always get the latest RLHF (Reinforcement Learning from Human Feedback) updates and safety tuning automatically. However, because it is a moving target, behavior might shift slightly over time, so it is best for conversational and agentic use cases.
Can chatgpt handle vision and audio inputs natively?
Yes, chatgpt 4o latest is a native multimodal model. It was built to process text, audio, and images within a single transformer. This results in significantly lower latency and better cross-modal reasoning than older gpt-4-turbo implementations. You can use chatgpt for high-accuracy OCR, spatial reasoning in diagrams, or analyzing video inputs, making it incredibly versatile for developers building modern AI agents.
What are the latest pricing tiers for this model?
On GPTProto.com, chatgpt 4o latest is priced at $5.00 per 1 million input tokens and $15.00 per 1 million output tokens. We also provide a 50% discount on cached input tokens for prompts exceeding 1,024 tokens. Our platform offers consolidated billing, which means you can scale your chatgpt usage alongside other models without the hassle of managing separate credits or complex vendor-specific invoicing.
Is data sent to chatgpt used for training?
No. Data sent via our API platform to the chatgpt 4o latest model is not used by OpenAI to train their models. We prioritize developer privacy and enterprise-grade security. You can build internal tools or customer-facing applications with chatgpt knowing that your proprietary data and user prompts remain confidential and are handled according to strict data protection standards.
How do I switch from GPT-4 Turbo to chatgpt 4o?
Migrating to chatgpt 4o latest is straightforward. Because it uses the same message schema as previous chatgpt versions, you simply need to update the 'model' parameter in your API request to 'chatgpt-4o-latest'. The 128k context window and improved instruction adherence make it a drop-in replacement that typically offers better performance at a lower cost and higher speed for most production workloads.
What is the latest knowledge cutoff for this model?
The chatgpt 4o latest model has a knowledge cutoff of October 2023. While it has access to a vast amount of historical data and world knowledge, for tasks requiring real-time information, we recommend combining chatgpt with a search tool or RAG (Retrieval-Augmented Generation) pipeline. This allows the model to reason over the latest current events while maintaining its high-quality conversational and analytical capabilities.
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