OpenAI: GPT-4
OpenAI • LLM
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Specifications
Context Window
8K tokens
Input Price/1M
$30.00
Output Price/1M
$60.00
Parameters
—
Speed
41 tok/s
Latency (TTFT)
871ms
Max Output
4K tokens
Benchmarks
OpenAI: GPT-4 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 13.1 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 12.8 | 100.0 | Artificial Analysis official API |
Information
- Release date
- March 14, 2023
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: OpenAI: GPT-4
What is OpenAI: GPT-4?
OpenAI: GPT-4 is an AI model developed by OpenAI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via OpenAI's cloud API. With a context window of 8K tokens, it is suitable for processing short documents and direct prompts.
Pricing & Costs in 2026
OpenAI: GPT-4 is usage-based, priced at $30/1M input tokens and $60/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The premium pricing reflects the model's frontier capabilities, recommended for complex reasoning, analysis, and generation tasks where quality takes priority over cost.
Benchmarks & Performance
OpenAI: GPT-4 was evaluated on 2 different benchmarks, covering categories like Coding, overall. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
OpenAI: GPT-4 is suitable for a wide range of AI applications: automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, OpenAI: GPT-4 competes directly with similarly capable models. Key competitors include Claude (Anthropic), Gemini (Google), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is OpenAI: GPT-4?
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
How much does OpenAI: GPT-4 cost?
OpenAI: GPT-4 costs $30/1M input tokens and $60/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does OpenAI: GPT-4 compare with other models?
In available benchmarks, OpenAI: GPT-4 scored: AA Coding Index: 13.1/100, AA Intelligence Index: 12.8/100. See the full table above for a detailed comparison.
Is OpenAI: GPT-4 open source?
No, OpenAI: GPT-4 is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is OpenAI: GPT-4 best for?
OpenAI: GPT-4 excels at general-purpose language tasks. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →