Technology & AI
Ilya Berdysh
Dec 12, 2025
On December 11, 2025, OpenAI introduced GPT-5.2—the most advanced model for professional work. The model shows results above expert level on real tasks spanning 44 professions. Average ChatGPT Enterprise user saves 40-60 minutes daily, while active users save over 10 hours weekly.
GPT-5.2 sets new records: 70.9% wins over professionals on GDPval, 55.6% on SWE-Bench Pro, 100% on AIME 2025, 90.5% on ARC-AGI-1. Three model versions available: Instant for fast work, Thinking for complex tasks, Pro for maximum quality.
In this guide we'll break down GPT-5.2's key capabilities, results on professional tasks, programming improvements and how the model changes approach to AI work.
What Is GPT-5.2 from OpenAI
GPT-5.2 is OpenAI's most advanced model series for professional knowledge work. The model designed for creating spreadsheets, presentations, writing code, analyzing images, understanding long contexts and handling complex multi-step projects. This is OpenAI's first model working at or above human expert level.
GPT-5.2 Thinking wins or ties with top professionals in 70.9% of comparisons on GDPval tasks as judged by expert evaluators. The model produces results more than 11 times faster and at less than 1% cost of experts. Companies Notion, Box, Shopify, Harvey and Zoom noted leading performance in long-form reasoning.
Three GPT-5.2 Versions:
Instant — fast model for daily work with improved conversational tone
Thinking — for deep work on complex tasks with detailed reasoning
Pro — smartest option for mission-critical tasks where maximum quality matters
Key GPT-5.2 Improvements
GPT-5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool calling and vision. Model better executes complex real-world tasks from start to finish than any previous model.
Main Improvements:
Professional tasks: 70.9% wins over experts on GDPval (44 professions)
Programming: 55.6% on SWE-Bench Pro, 80% on SWE-bench Verified
Mathematics: 100% on AIME 2025, 40.3% on FrontierMath Tier 1-3
Long context: near 100% accuracy on 4-needle MRCR up to 256K tokens
Vision: errors cut in half on charts and interfaces
Hallucinations: 30% fewer errors (6.2% vs 8.8% for GPT-5.1)
Abstract reasoning: 90.5% on ARC-AGI-1, 54.2% on ARC-AGI-2
Databricks, Hex and Triple Whale found model exceptional for agentic data science and document analysis. Cognition, Warp, Charlie Labs, JetBrains and Augment Code report leading coding performance with measurable improvements in interactive programming, code review and bug finding.
Results on Professional Tasks — GDPval
GPT-5.2 sets new record on GDPval—evaluation measuring well-defined knowledge work tasks across 44 professions from top-9 US industries. Tasks request real work products: sales presentations, accounting spreadsheets, emergency care charts, manufacturing diagrams, short videos.
GPT-5.2 Thinking wins or ties with top professionals in 70.9% of comparisons. One GDPval judge commented: "Exciting and noticeable jump in quality... looks like it's done by professional company with staff, has surprisingly well-developed layout."
GDPval Results (wins or ties against professionals):
GPT-5.2 Pro: 74.1% — new maximum
GPT-5.2 Thinking: 70.9% — first model at expert level
GPT-5 Thinking: 38.8% — previous generation
On internal test of junior investment banking analyst spreadsheet modeling tasks, GPT-5.2 Thinking average score grew 9.3%: from 59.1% to 68.4%. Tasks include creating three-statement models for Fortune 500 companies with proper formatting and citations, or building leveraged buyout model for privatization.
Programming — 55.6% on SWE-Bench Pro
GPT-5.2 Thinking sets new record of 55.6% on SWE-Bench Pro—rigorous real-world software engineering evaluation. Unlike SWE-bench Verified (Python only), SWE-Bench Pro tests four languages and is more resistant to contamination, harder, more diverse and industrially relevant.
On SWE-bench Verified model achieves 80%—new OpenAI maximum. For everyday use, this is model that more reliably debugs production code, implements feature requests, refactors large codebases and ships fixes end-to-end with less manual intervention.
Programming Results:
SWE-Bench Pro (public): 55.6% (GPT-5.1: 50.8%)
SWE-bench Verified: 80.0% (GPT-5.1: 76.3%)
SWE-Lancer IC Diamond: 74.6% (GPT-5.1: 69.7%)
Frontend Development and Complex UI
GPT-5.2 Thinking significantly stronger in frontend development and complex or non-standard UI work—especially with 3D elements. Early testers noted this as powerful daily partner for engineers. Model can create complex interactive applications from single prompt: ocean wave simulation with settings, holiday card builder, games. All in one HTML file.
Feedback from Developer Companies:
"GPT-5.2 represents the biggest leap for GPT models in agentic coding since GPT-5 and is the leading coding model in its price range. Version jump underestimates the intelligence leap." — Jeff Wang, CEO, Windsurf
30% Reduction in Hallucinations
GPT-5.2 Thinking hallucinates less than GPT-5.1 Thinking. On set of de-identified queries from ChatGPT, responses with errors were 30% relatively less common. For professionals this means fewer mistakes when using model for research, writing, analysis and decision support.
Response-level error rate: GPT-5.2 Thinking—6.2% responses with at least one error, GPT-5.1 Thinking—8.8%. Like all models, GPT-5.2 Thinking is imperfect. For mission-critical tasks, double-check responses.
Accuracy Improvement:
30% relative error reduction
6.2% vs 8.8% responses with errors
Fewer hallucinations during research and analysis
More reliable for decision-making
Long Context — 256K Tokens with High Accuracy
GPT-5.2 Thinking sets new record in long-context reasoning. This is first model achieving near 100% accuracy on 4-needle MRCR variant up to 256K tokens. Model can work with long documents—reports, contracts, research papers, transcripts and multi-file projects—maintaining coherence and accuracy.
For tasks requiring reasoning beyond maximum context window, GPT-5.2 Thinking compatible with new Responses /compact endpoint that extends effective context window. This enables handling heavier tools, long-running workflows.
Long Context Capabilities:
Near 100% accuracy on 4-needle MRCR up to 256K tokens
Deep document analysis with hundreds of thousands of tokens
Information synthesis from multiple sources
Support for complex multi-source workflows
Extension via /compact endpoint for agentic tasks
Enhanced Vision — Errors Cut in Half
GPT-5.2 Thinking is OpenAI's strongest vision model, cutting error rates approximately in half on chart reasoning and software interface understanding. Model can more accurately interpret dashboards, product screenshots, technical diagrams and visual reports.
GPT-5.2 has stronger understanding of how elements are positioned within images. Model can identify components in image (e.g., motherboard) and return labels with approximate bounding boxes even on low-quality images.
Vision Results:
CharXiv Reasoning (with Python): 88.7% (GPT-5.1: 80.3%)
ScreenSpot-Pro (with Python): 86.3% (GPT-5.1: 64.2%)
Video MMMU (no tools): 85.9% (GPT-5.1: 82.9%)
MMMU Pro (with Python): 80.4% (GPT-5.1: 79.0%)
Tool Calling — 98.7% on Tau2-bench
GPT-5.2 Thinking achieves 98.7% on Tau2-bench Telecom, demonstrating ability to reliably use tools in long multi-step tasks. For professionals this means stronger end-to-end workflows: solving support cases, extracting data from multiple systems, running analyses, generating final outputs.
When user asks complex customer service question requiring multi-step solution, model efficiently coordinates full workflow. For example: traveler reports delayed flight, missed connection, overnight stay in New York and medical seating requirement. GPT-5.2 manages entire chain: rebooking, special assistance seat, compensation.
Tool Calling Results:
Tau2-bench Telecom: 98.7% (GPT-5.1: 95.6%)
Tau2-bench Retail: 82.0% (GPT-5.1: 77.9%)
BrowseComp: 77.9% for Pro (GPT-5.1: 50.8%)
Scale MCP-Atlas: 60.6% (GPT-5.1: 44.5%)
Science and Mathematics — 100% on AIME 2025
GPT-5.2 Pro and GPT-5.2 Thinking are world's best models for helping scientists. On GPQA Diamond (Google-proof Q&A graduate-level test) GPT-5.2 Pro achieves 93.2%, followed by Thinking with 92.4%. On FrontierMath Tier 1-3 model sets new record: 40.3% solved expert-level problems.
On AIME 2025 both versions achieve 100%—absolute maximum. On HMMT February 2025 models show 99.4% (Thinking) and 100% (Pro). Models beginning to meaningfully accelerate progress in mathematics and science. In recent work with GPT-5.2 Pro, researchers explored open question in statistical learning theory, model proposed proof verified by authors and external experts.
Science and Mathematics Results:
GPQA Diamond: 93.2% for Pro, 92.4% for Thinking
AIME 2025: 100% for both versions
HMMT Feb 2025: 100% for Pro, 99.4% for Thinking
FrontierMath Tier 1-3: 40.3%
HLE (with search): 50.0% for Pro, 45.5% for Thinking
ARC-AGI 2 — First Model Above 90%
On ARC-AGI-1 (Verified) GPT-5.2 Pro is first model crossing 90% threshold, improving from 87% for o3-preview while reducing cost of achieving this performance approximately 390 times. On ARC-AGI-2 (Verified), which raises difficulty and better isolates fluid reasoning, GPT-5.2 Thinking achieves 52.9%. GPT-5.2 Pro works even higher: 54.2%.
Improvements reflect GPT-5.2's stronger multi-step reasoning, greater quantitative accuracy and more reliable problem-solving on complex technical tasks.
Abstract Reasoning Results:
ARC-AGI-1 (Verified): 90.5% for Pro (first above 90%), 86.2% for Thinking
ARC-AGI-2 (Verified): 54.2% for Pro, 52.9% for Thinking
Cost reduced 390x compared to o3-preview
Who GPT-5.2 Is For
GPT-5.2 created for professionals working with complex tasks. Developers will appreciate record performance on SWE-Bench Pro (55.6%) and SWE-bench Verified (80%). Model reliably debugs code, implements feature requests, refactors codebases end-to-end.
Data analysts and finance professionals will find powerful assistant for creating spreadsheets and models. On junior investment banking analyst tasks model shows 68.4% (9.3% growth). Model creates three-statement models for Fortune 500 companies with proper formatting.
GPT-5.2 Target Audience:
Developers — 80% on SWE-bench, strong frontend, 3D elements
Finance professionals — spreadsheet models, presentations, financial analysis
Scientists — 93.2% on GPQA, 100% on AIME, research assistance
Data scientists — agentic data analysis, long documents
Managers — creating presentations, reports, project planning
Knowledge professionals — 70.9% wins over experts in 44 professions
Scientists get best model for accelerating research: 93.2% on GPQA Diamond, 100% on AIME 2025, 40.3% on FrontierMath. Model can propose proofs for expert verification. Project managers and business professionals will appreciate creating presentations, spreadsheets, planning at or above expert level.
mymeet.ai for Recording and Analyzing AI Meetings
GPT-5.2 shows how AI becomes powerful tool for professional work. But for business meetings and teamwork need specialized solutions optimized for specific business tasks.
mymeet.ai is AI assistant for online meetings. System automatically records calls, creates transcripts with speaker identification and generates structured reports with key decisions and tasks.
What mymeet.ai Can Do:
Automatic recording — Zoom, Google Meet, Microsoft Teams, Yandex.Telemost
Accurate transcription — 95% accuracy for Russian, supports 73 languages
AI reports — structured summaries with decisions, tasks, next steps
Smart search — find what was discussed at any meeting through questions to AI
Integrations — calendar sync, sending reports to CRM
Security — data in Russia, Federal Law 152 compliance
Export — DOCX, PDF, JSON formats
Case Study: Sales team conducted 30-40 client meetings weekly. Manual note-taking took 10-15 hours. After implementing mymeet.ai process automated: system recorded meetings, created transcripts, generated reports with client objections, automatically sent summaries to CRM. Documentation time reduced to zero.
Try mymeet.ai free — 180 minutes processing without card attachment. Get Started →
Availability and GPT-5.2 Pricing
In ChatGPT, GPT-5.2 (Instant, Thinking, Pro) begins rolling out December 11, starting with paid plans (Plus, Pro, Go, Business, Enterprise). OpenAI deploying GPT-5.2 gradually for smoothness and reliability. GPT-5.1 will be available to paid users three months under legacy models.
In API, GPT-5.2 Thinking available today in Responses API and Chat Completions API as gpt-5.2, GPT-5.2 Instant as gpt-5.2-chat-latest. GPT-5.2 Pro available in Responses API as gpt-5.2-pro. Developers can set reasoning parameter in GPT-5.2 Pro, both versions support new fifth reasoning effort level—xhigh.
Prices per Million Tokens:
gpt-5.2 / gpt-5.2-chat-latest: $1.75 input, $0.175 cache, $14 output
gpt-5.2-pro: $21 input, $168 output
gpt-5.1 / gpt-5.1-chat-latest: $1.25 input, $0.125 cache, $10 output
Key Pricing Details:
ChatGPT subscription remains same price
In API GPT-5.2 more expensive per token than GPT-5.1 (more capable model)
90% discount on cached inputs
Price lower than other frontier models
Despite higher cost per token, cost of achieving given quality level lower thanks to token efficiency
OpenAI doesn't plan to deprecate GPT-5.1, GPT-5 or GPT-4.1 in API and will communicate any plans with sufficient notice. While GPT-5.2 will work well out of box in Codex, expect release of GPT-5.2 version optimized for Codex in coming weeks.
GPT-5.2 Pros and Cons
GPT-5.2 sets new standards in professional AI work but has strengths and limitations. Balanced assessment helps understand when model fits best.
GPT-5.2 Pros:
✅ Expert level on professional tasks — 70.9% wins over professionals in 44 professions
✅ Record programming — 55.6% on SWE-Bench Pro, 80% on SWE-bench Verified
✅ 30% reduction in hallucinations — 6.2% responses with errors vs 8.8% for GPT-5.1
✅ Absolute maximum on mathematics — 100% on AIME 2025, 40.3% on FrontierMath
✅ First model above 90% on ARC-AGI-1 — 90.5% while reducing cost 390x
✅ Long context up to 256K — near 100% accuracy, deep document analysis
✅ Enhanced vision — errors cut in half on charts and interfaces
GPT-5.2 Cons:
⚠️ Higher price per token — $1.75 vs $1.25 for GPT-5.1 (though quality cost lower)
⚠️ Requires paid ChatGPT subscription — Plus, Pro, Go, Business or Enterprise
⚠️ Complex generations take minutes — especially for spreadsheets and presentations
⚠️ Gradual rollout — not everyone sees immediately, need to try later
⚠️ GPT-5.1 will be removed after 3 months — from ChatGPT (remains in API)
⚠️ Known over-refusal issues — OpenAI working on improvements
⚠️ Pro version most expensive — $21 input, $168 output per million tokens
Conclusion
GPT-5.2 represents significant step forward in professional AI use. This is OpenAI's first model working at or above human expert level on real knowledge work tasks. 70.9% wins over professionals in 44 professions demonstrates AI reaching expert level across broad spectrum of areas.
Record results on programming (55.6% SWE-Bench Pro, 80% SWE-bench Verified) make GPT-5.2 powerful tool for developers. 30% reduction in hallucinations and improved accuracy critical for professional use. Absolute maximum on AIME 2025 (100%) and first crossing 90% on ARC-AGI-1 show progress in mathematical reasoning.
Three model versions allow choosing optimal balance between speed and quality. Instant for fast daily work, Thinking for complex tasks requiring reasoning, Pro for mission-critical tasks where maximum quality worth waiting. Price higher than GPT-5.1, but token efficiency compensates for most uses.
Try GPT-5.2 in ChatGPT with paid subscription or through API for developers. Get Started →
Frequently Asked Questions (FAQ)
How does GPT-5.2 differ from GPT-5.1?
GPT-5.2 surpasses GPT-5.1 across all key metrics: 70.9% vs 38.8% (GPT-5) on GDPval, 55.6% vs 50.8% on SWE-Bench Pro, 30% hallucination reduction (6.2% vs 8.8%), near 100% accuracy on long context up to 256K tokens, vision errors cut in half.
How much does GPT-5.2 cost?
In ChatGPT subscription remains same price. In API: gpt-5.2—$1.75 per 1M input tokens and $14 output (vs $1.25 and $10 for GPT-5.1). gpt-5.2-pro—$21 input and $168 output. 90% discount on cached inputs. Despite higher cost per token, quality achievement cost lower thanks to efficiency.
What's difference between Instant, Thinking and Pro?
Instant—fast model for daily work with improved conversational tone. Thinking—for deep work on complex tasks with detailed reasoning (70.9% on GDPval). Pro—smartest option for mission-critical tasks (74.1% on GDPval, 93.2% on GPQA), costs more but gives maximum quality.
When will GPT-5.2 be available?
GPT-5.2 began rolling out December 11, 2025 in ChatGPT for paid plans (Plus, Pro, Go, Business, Enterprise). In API available today for all developers. OpenAI deploying gradually for smoothness—if don't see immediately, try later.
Does GPT-5.2 work with Russian language?
Yes, GPT-5.2 supports Russian language. Model trained on multilingual data. All three versions (Instant, Thinking, Pro) work with Russian for creating texts, programming, analyzing documents, answering questions. Quality comparable to English for most tasks.
What will happen to GPT-5.1?
In ChatGPT, GPT-5.1 will be available to paid users three months under legacy models, then removed. In API OpenAI doesn't plan to deprecate GPT-5.1, GPT-5 or GPT-4.1 and will communicate any plans with sufficient notice for developers.
How much more accurate is GPT-5.2 than previous versions?
GPT-5.2 Thinking shows 6.2% responses with errors vs 8.8% for GPT-5.1 Thinking—30% reduction. On long context near 100% accuracy on 4-needle MRCR up to 256K tokens. On GDPval 70.9% wins over professionals vs 38.8% for GPT-5. Vision errors cut in half.
Can GPT-5.2 be used for commercial projects?
Yes, GPT-5.2 available for commercial use through ChatGPT (paid plans) and API. In API model available to all developers. Prices: $1.75 per 1M input tokens, $14 output (90% cache discount). For enterprise OpenAI offers Business and Enterprise plans with additional guarantees.
How does GPT-5.2 compare with Claude and Gemini?
GPT-5.2 sets new records: 70.9% on GDPval (professional tasks), 55.6% on SWE-Bench Pro, 100% on AIME 2025, 90.5% on ARC-AGI-1. This is OpenAI's first model at expert level on real tasks. Claude 3.5 and Gemini 2 strong in different areas, but GPT-5.2 shows leadership on professional metrics.
Will there be GPT-6 after GPT-5.2?
OpenAI hasn't announced GPT-6. Number 5.2 indicates improvement within GPT-5 generation. OpenAI focuses on gradual improvements while keeping generation number. Next major update could be called GPT-5.3 or straight to GPT-6—unknown yet. GPT-5.2 built with NVIDIA and Microsoft on Azure with H100, H200, GB200-NVL72 GPUs.
Ilya Berdysh
Dec 12, 2025
