Q: What are the improvements in coding capabilities?

GPT‑5.2 Thinking sets a new state of the art of 55.6% on SWE-Bench Pro (a rigorous, multi-language software engineering eval) and 80% on SWE-bench Verified. This translates to a model that can more reliably debug production code, implement feature requests, refactor large codebases, and is significantly stronger at front-end development and complex UI work, including 3D elements.

Q: How does GPT‑5.2 handle long documents and context?

GPT‑5.2 Thinking sets a new state of the art in long-context reasoning. It achieves near 100% accuracy on the 4-needle MRCRv2 test (out to 256k tokens), making it substantially more accurate for real-world tasks like deep document analysis across reports, contracts, research papers, and multi-file projects. It is also compatible with the new Responses /compact endpoint to extend its effective context window for tool-heavy workflows.

Q: What are the vision capabilities of GPT‑5.2?

GPT‑5.2 Thinking is the strongest vision model yet, roughly cutting error rates in half on chart reasoning (CharXiv: 88.7%) and software interface understanding (ScreenSpot-Pro: 86.3%). It has a stronger grasp of spatial layout within images, allowing it to more accurately interpret dashboards, technical diagrams, product screenshots, and visual reports critical for professional workflows.

Q: How reliable is GPT‑5.2's tool calling for complex workflows?

GPT‑5.2 Thinking achieves a new state of the art of 98.7% on Tau2-bench Telecom, demonstrating highly reliable tool use across long, multi-turn tasks. It also performs much better at lower latency settings (reasoning.effort='none'). This enables stronger end-to-end workflows, such as resolving complex customer support cases that require coordinating multiple steps like rebooking flights and handling special requests.

Q: What are the improvements in science and math reasoning?

GPT‑5.2 Pro and Thinking are among the world's best models for scientific assistance. GPT‑5.2 Pro scores 93.2% on GPQA Diamond (graduate-level science questions), and GPT‑5.2 Thinking scores 40.3% on FrontierMath (Tier 1-3, expert-level mathematics). The model has also been used in collaborative research to propose and verify proofs, demonstrating its potential to accelerate scientific discovery.

Q: Is GPT‑5.2 more factually accurate?

Yes. On a set of de-identified queries from ChatGPT, responses from GPT‑5.2 Thinking contained errors 30% less often compared to GPT‑5.1 Thinking (6.2% vs 8.8% error rate). This makes the model more dependable for professional research, writing, analysis, and decision support, though users should still double-check critical information.

Q: What are the different GPT‑5.2 versions in ChatGPT and the API?

In ChatGPT, the versions are: ChatGPT‑5.2 Instant (fast, capable workhorse), ChatGPT‑5.2 Thinking (for deeper, complex work), and ChatGPT‑5.2 Pro (smartest and most trustworthy for difficult questions). In the API, they are available as: gpt-5.2-chat-latest (Instant), gpt-5.2 (Thinking), and gpt-5.2-pro (Pro). GPT‑5.2 supports a new 'xhigh' reasoning effort for maximum quality.

Q: What is the pricing and availability of GPT‑5.2?

GPT‑5.2 is rolling out in ChatGPT starting with paid plans (Plus, Pro, Go, Business, Enterprise). In the API, GPT‑5.2/gpt-5.2-chat-latest is priced at $1.75 per 1M input tokens and $14 per 1M output tokens, with a 90% discount on cached inputs. GPT‑5.2-pro is priced at $21/$168 per 1M tokens. Despite the higher per-token cost, its greater token efficiency can make achieving a given quality level less expensive overall. There are no immediate plans to deprecate GPT‑5.1, GPT‑5, or GPT‑4.1 in the API.

Question 1

What is GPT‑5.2 and what is it designed for?

Accepted Answer

GPT‑5.2 is the most capable model series yet, designed for professional knowledge work. It's built to unlock significant economic value by being better at creating spreadsheets, building presentations, writing code, perceiving images, understanding long contexts, using tools, and handling complex, multi-step projects. It sets a new state of the art across many benchmarks, including GDPval, where it outperforms industry professionals on knowledge work tasks.

Question 2

How does GPT‑5.2 perform on professional knowledge work (GDPval)?

Accepted Answer

GPT‑5.2 Thinking sets a new state-of-the-art on GDPval, an evaluation of well-specified knowledge work tasks across 44 occupations. It beats or ties top industry professionals on 70.9% of comparisons according to expert human judges. The model produced outputs for these tasks at >11x the speed and <1% the cost of expert professionals. GPT‑5.2 Pro achieves an even higher 74.1% win rate on this benchmark.

Question 3

What are the improvements in coding capabilities?

Accepted Answer

GPT‑5.2 Thinking sets a new state of the art of 55.6% on SWE-Bench Pro (a rigorous, multi-language software engineering eval) and 80% on SWE-bench Verified. This translates to a model that can more reliably debug production code, implement feature requests, refactor large codebases, and is significantly stronger at front-end development and complex UI work, including 3D elements.

Question 4

How does GPT‑5.2 handle long documents and context?

Accepted Answer

GPT‑5.2 Thinking sets a new state of the art in long-context reasoning. It achieves near 100% accuracy on the 4-needle MRCRv2 test (out to 256k tokens), making it substantially more accurate for real-world tasks like deep document analysis across reports, contracts, research papers, and multi-file projects. It is also compatible with the new Responses /compact endpoint to extend its effective context window for tool-heavy workflows.

Question 5

What are the vision capabilities of GPT‑5.2?

Accepted Answer

GPT‑5.2 Thinking is the strongest vision model yet, roughly cutting error rates in half on chart reasoning (CharXiv: 88.7%) and software interface understanding (ScreenSpot-Pro: 86.3%). It has a stronger grasp of spatial layout within images, allowing it to more accurately interpret dashboards, technical diagrams, product screenshots, and visual reports critical for professional workflows.

Question 6

How reliable is GPT‑5.2's tool calling for complex workflows?

Accepted Answer

GPT‑5.2 Thinking achieves a new state of the art of 98.7% on Tau2-bench Telecom, demonstrating highly reliable tool use across long, multi-turn tasks. It also performs much better at lower latency settings (reasoning.effort='none'). This enables stronger end-to-end workflows, such as resolving complex customer support cases that require coordinating multiple steps like rebooking flights and handling special requests.

Question 7

What are the improvements in science and math reasoning?

Accepted Answer

GPT‑5.2 Pro and Thinking are among the world's best models for scientific assistance. GPT‑5.2 Pro scores 93.2% on GPQA Diamond (graduate-level science questions), and GPT‑5.2 Thinking scores 40.3% on FrontierMath (Tier 1-3, expert-level mathematics). The model has also been used in collaborative research to propose and verify proofs, demonstrating its potential to accelerate scientific discovery.

Question 8

Is GPT‑5.2 more factually accurate?

Accepted Answer

Yes. On a set of de-identified queries from ChatGPT, responses from GPT‑5.2 Thinking contained errors 30% less often compared to GPT‑5.1 Thinking (6.2% vs 8.8% error rate). This makes the model more dependable for professional research, writing, analysis, and decision support, though users should still double-check critical information.

Question 9

What are the different GPT‑5.2 versions in ChatGPT and the API?

Accepted Answer

In ChatGPT, the versions are: ChatGPT‑5.2 Instant (fast, capable workhorse), ChatGPT‑5.2 Thinking (for deeper, complex work), and ChatGPT‑5.2 Pro (smartest and most trustworthy for difficult questions). In the API, they are available as: gpt-5.2-chat-latest (Instant), gpt-5.2 (Thinking), and gpt-5.2-pro (Pro). GPT‑5.2 supports a new 'xhigh' reasoning effort for maximum quality.

Question 10

What is the pricing and availability of GPT‑5.2?

Accepted Answer

GPT‑5.2 is rolling out in ChatGPT starting with paid plans (Plus, Pro, Go, Business, Enterprise). In the API, GPT‑5.2/gpt-5.2-chat-latest is priced at $1.75 per 1M input tokens and $14 per 1M output tokens, with a 90% discount on cached inputs. GPT‑5.2-pro is priced at $21/$168 per 1M tokens. Despite the higher per-token cost, its greater token efficiency can make achieving a given quality level less expensive overall. There are no immediate plans to deprecate GPT‑5.1, GPT‑5, or GPT‑4.1 in the API.

Question 11

What safety improvements does GPT‑5.2 include?

Accepted Answer

GPT‑5.2 builds on 'safe completion' research to give helpful answers within safety boundaries. It includes targeted improvements for sensitive conversations (suicide/self-harm, mental health distress, emotional reliance), resulting in fewer undesirable responses. OpenAI is also rolling out age prediction to apply content protections for users under 18 automatically.

Question 12

What do early testers and partners say about GPT‑5.2?

Accepted Answer

Partners like Notion, Box, Shopify, Harvey, and Zoom noted state-of-the-art long-horizon reasoning and tool-calling. Databricks, Hex, and Triple Whale found it exceptional at agentic data science. Coding companies like Cognition, Warp, and JetBrains reported state-of-the-art agentic coding performance. Testers highlighted its ability to simplify complex multi-agent systems into a single, reliable 'mega-agent,' dramatically improving latency and maintainability.

GPT-5.2 Chat Latest

Our Clients' Voices