OpenAI • LLM
GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.
Context Window
128K tokens
Input Price/1M
$1.25
Output Price/1M
$10.00
Parameters
—
Max Output
16K tokens
GPT-5 Chat results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 54.3 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 21.2 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 98.7 | 100.0 | Artificial Analysis official API |
| AA Math Index | 48.3 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 48.3 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 21.8 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 82.0 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 68.6 | 100.0 | Artificial Analysis official API |
GPT-5 Chat is an AI model developed by OpenAI, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via OpenAI's cloud API. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
GPT-5 Chat is usage-based, priced at $1.25/1M input tokens and $10/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
GPT-5 Chat was evaluated on 8 different benchmarks, covering categories like Coding, Math, overall, Reasoning. Results show exceptional 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.
GPT-5 Chat is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, GPT-5 Chat 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.
GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.
GPT-5 Chat costs $1.25/1M input tokens and $10/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, GPT-5 Chat scored: LiveCodeBench: 54.3/100, AA Coding Index: 21.2/100, MATH-500: 98.7/100. See the full table above for a detailed comparison.
No, GPT-5 Chat is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
GPT-5 Chat excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →