OpenAI • LLM
GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
Context Window
128K tokens
Input Price/1M
$1.75
Output Price/1M
$14.00
Parameters
—
Max Output
32K tokens
GPT-5.2 Chat results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 88.9 | 100.0 | Artificial Analysis official API |
| LiveBench Coding | 76.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Coding Index | 48.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 47.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 50.0 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 99.0 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 99.0 | 100.0 | Artificial Analysis official API |
| LiveBench Math | 58.3 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1477.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| AA Intelligence Index | 51.3 | 100.0 | Artificial Analysis official API |
| LiveBench Global | 48.9 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 90.3 | 100.0 | Artificial Analysis official API |
| MMLU Pro | 87.4 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 42.8 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
GPT-5.2 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-5.2 Chat is usage-based, priced at $1.75/1M input tokens and $14/1M 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-5.2 Chat was evaluated on 14 different benchmarks, covering categories like Coding, Data Analysis, Language, 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-5.2 Chat is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), 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-5.2 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-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
GPT-5.2 Chat costs $1.75/1M input tokens and $14/1M 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-5.2 Chat scored: LiveCodeBench: 88.9/100, LiveBench Coding: 76.45/100, AA Coding Index: 48.7/100. See the full table above for a detailed comparison.
No, GPT-5.2 Chat is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
GPT-5.2 Chat excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →