OpenAI
GPT-6.1 Sol
gpt-6.1-sol
Total Context
1.1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
GPT-4o
gpt-4oGPT-4o is OpenAI’s multimodal flagship from the GPT-4o generation, built for text and image input with strong general intelligence. Official docs describe it as a versatile high-intelligence model suitable for a broad range of language and vision tasks. It remains useful where multimodal understanding and natural interaction matter more than the newest reasoning stack.
Context Window
128K tokens
Maximum Output
16.4K tokens
Release Date
May 13, 2024
Modalities
GPT-4o Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $2.5/M | $10/M | $1.25/M |
GPT-4o API Capabilities
Reasoning
Not supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
2023-09-01
Endpoint Protocols
Completions APIMessages APIgemini
GPT-4o Model Highlights
GPT-4o is a versatile general-purpose model combining text generation, image understanding and responsive performance across varied workloads.
Versatile Language Intelligence
Handles writing, explanation, analysis and coding across broad domains in a single general-purpose model.
Image Understanding
Interprets photographs, charts, screenshots and document pages together with written instructions.
Responsive General Performance
Balances model intelligence and speed for interactive applications that span multiple common task types.
GPT-4o Use Cases
GPT-4o fits multimodal assistants, visual document analysis and interactive content or coding support.
Multimodal Assistance
Answers questions about combined text and image inputs, enabling users to discuss visible content in natural language.
Visual Document Analysis
Examines document pages, tables and charts to extract information, explain patterns and produce concise summaries.
Interactive Content Support
Helps users draft, revise and explain written or coded content through responsive multi-turn conversations.
How to Use GPT-4o via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)GPT-4o Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 9.6 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 16.6 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 52.1% |
| HLE | Broad expert-level exam set | 2.9% |
| Coding & Engineering | ||
| LiveCodeBench | Live coding problems | 31.7% |
| SciCode | Scientific coding challenges | 33.1% |
| Terminal-Bench Hard | Hard terminal task execution | 8.3% |
| Math | ||
| MATH-500 | Advanced math problem solving | 79.5% |
| AIME | Competition math problems | 11.7% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 36.0% |
| AA-LCR | Long-context reasoning | 35% |
| τ²-Bench | Agent workflow tasks | 28.9% |
Metrics sourced from Artificial Analysis
Frequently asked questions about GPT-4o
Understand what GPT-4o is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
What kind of model is GPT-4o?+
GPT-4o is OpenAI’s earlier omni model for general text and visual understanding, now positioned as an older API option. It has been retired from ChatGPT, while API availability may remain; check TokenHub’s current listing.
What should teams use GPT-4o for?+
Best-fit scenarios include analysis of text and visual inputs, responsive interactive assistants, and general-purpose content generation. Test representative inputs and define measurable acceptance criteria before production.
Where does GPT-4o have a clear technical advantage?+
Key strengths include combined text and image understanding, broad general-purpose capability, and responsive conversational behavior. This combination is especially useful for responsive interactive assistants.
When should a team choose another model instead of GPT-4o?+
Consider another model when a new build should use the provider’s current recommended generation, the task needs a dedicated reasoning model, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
What should be checked before integrating GPT-4o with TokenHub?+
In TokenHub, select the exact model identifier displayed for GPT-4o, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the current TokenHub documentation for supported text and image inputs, because platform exposure can differ from the provider’s full model capabilities.
Ready to use GPT-4o?
Use one API key to access GPT-4o and more AI models through TokenHub.
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