GPT-5 Chat

GPT-5 Chat

OpenAILLM

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

MultimodalAPI AvailableVision

Specifications

Context Window

128K tokens

Input Price/1M

$1.25

Output Price/1M

$10.00

Parameters

Max Output

16K tokens

Benchmarks

GPT-5 Chat results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench54.3100.0Artificial Analysis official API
AA Coding Index21.2100.0Artificial Analysis official API

Math

BenchmarkScoreMaximumMethodology
MATH-50098.7100.0Artificial Analysis official API
AA Math Index48.3100.0Artificial Analysis official API
AIME 202548.3100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index21.8100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro82.0100.0Artificial Analysis official API
GPQA Diamond68.6100.0Artificial Analysis official API

Information

Release date
August 07, 2025
Tool Calling
❌ Not supported
Vision
✅ Supported
Audio
❌ Not supported

Full Analysis: GPT-5 Chat

What is GPT-5 Chat?

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.

Pricing & Costs in 2026

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.

Benchmarks & Performance

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.

Recommended Use Cases

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.

Comparison with Alternatives

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.

Frequently Asked Questions

What is GPT-5 Chat?

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

How much does GPT-5 Chat cost?

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.

How does GPT-5 Chat compare with other models?

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.

Is GPT-5 Chat open source?

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.

What is GPT-5 Chat best for?

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 →