GPT-4 Turbo
VerifiedMultimodal AI for advanced text and image reasoning tasks.
About GPT-4 Turbo
GPT-4 Turbo processes both text and images within a single context of 128000 tokens. It is closed-source and accessed exclusively through OpenAI APIs rather than distributed weights. The architecture supports extended conversations and document analysis without requiring separate vision modules.
Its design emphasizes reliable performance on complex multimodal prompts while remaining unavailable for local deployment. Strengths include coherent handling of lengthy inputs that combine visual and textual elements. Users apply it to tasks such as image description, document summarization, and code generation from screenshots.
Typical usage involves API integration for chat interfaces, automation workflows, and research tools. The model maintains consistent output quality across extended contexts without public disclosure of parameter counts.
Capabilities
Benchmarks & performance
Independent evaluation scores and measured speed.
Source: Artificial Analysis
How GPT-4 Turbo compares
GPT-4 Turbo (striped bar) vs other multimodal on intelligence, speed and price.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · GPT-4 Turbo ranks #79 of 88
Speed
Output tokens per second · Higher is better · GPT-4 Turbo ranks #75 of 76
Price
USD per 1M output tokens · Lower is better · GPT-4 Turbo ranks #140 of 155
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-document analysis with visuals
Processes up to 128000 tokens of text alongside images to summarize reports, extract insights, and answer questions spanning entire documents.
Complex software development
Generates, debugs, and refactors code while following multi-step instructions to solve intricate programming challenges.
Instruction-driven creative writing
Produces extended narratives or marketing copy that adheres precisely to detailed creative guidelines and style constraints.
Strengths & limitations
Strengths
- +Strong integration of text and image inputs
- +Effective handling of large documents and conversations
- +Versatile across technical, analytical, and creative tasks
- +Improved efficiency compared to earlier GPT-4 versions
Limitations
- –Can still produce hallucinations or factual errors
- –No native support for audio or video modalities
- –Performance depends heavily on prompt quality
Cost calculator
Estimate what GPT-4 Turbo would cost for your usage.
Based on GPT-4 Turbo's $10.00/1M input · $30.00/1M 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-4-turbo",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-4-turbo
Editor's verdict
GPT-4 Turbo is OpenAI's proprietary multimodal with a 128K-token context window.
On independent testing it scores 13.7 on the Artificial Analysis Intelligence Index, running at roughly 32 tokens per second with about 3.40s to first token.
At $30.00 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 strong integration of text and image inputs and effective handling of large documents and conversations.
Frequently asked questions
The model supports a context length of 128000 tokens.
User reviews
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