GPT-5.3 Chat
VerifiedMultimodal chat model for text, image, and file tasks.
About GPT-5.3 Chat
GPT-5.3 Chat is built as a closed-source multimodal system by OpenAI. It accepts text, image, and file inputs while maintaining a 128000-token context window. The architecture enables handling of mixed media within single sessions.
Its primary strengths lie in unified processing of diverse modalities without requiring separate tools. The large context supports retention of details across lengthy exchanges involving documents and visuals. Users benefit from consistent performance on combined text and image queries.
Typical usage includes document analysis, image interpretation, and multi-turn file-based discussions. Developers integrate it into applications needing extended context and multimodal input. The model suits professional workflows that combine visual and textual data.
Capabilities
How GPT-5.3 Chat compares
GPT-5.3 Chat (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-5.3 Chat ranks #97 of 122
Nova Premier 1.0Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis
The model excels at long-context reasoning over 128,000 tokens, enabling detailed summarization and insight extraction from extensive reports or transcripts that include supporting images.
Multimodal File Workflows
It processes multimodal inputs for image analysis and file interpretation, supporting tasks like reviewing visual data alongside text-based documents in a single session.
Extended Conversational Tasks
Strong performance in sustained text generation and conversational responses makes it suitable for iterative problem-solving or creative writing projects requiring continuity across many turns.
Strengths & limitations
Strengths
- +128k token context window
- +Native support for text, image and file inputs
- +Multimodal reasoning across modalities
- +OpenAI model lineage
Limitations
- –Fictional model with no public verification
- –Behavior may be inconsistent with real releases
- –No specialized tool-use details provided
Cost calculator
Estimate what GPT-5.3 Chat would cost for your usage.
Based on GPT-5.3 Chat's $1.75/1M input · $14.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/gpt-5.3-chat",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-5.3-chat
Editor's verdict
GPT-5.3 Chat is OpenAI's proprietary multimodal with a 128K-token context window.
At $14.00 per 1M output tokens, it is premium-priced for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to 128k token context window and native support for text, image and file inputs.
Frequently asked questions
The model supports a context window of 128000 tokens.
User reviews
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