GPT-5.2 is OpenAI's most advanced and capable AI model series released on December 11, 2025, designed specifically for professional knowledge work and long-running agents. Born from OpenAI's response to competitive pressure from Google's Gemini 3 and Anthropic's Claude Opus 4.5, GPT-5.2 represents a significant leap in AI capabilities, delivering unprecedented performance across coding, reasoning, mathematics, and professional workflows.
The model series comes in three specialized variants: GPT-5.2 Instant for speed-optimized routine tasks, GPT-5.2 Thinking for complex reasoning and multi-step work, and GPT-5.2 Pro for maximum accuracy on the most difficult problems. All variants feature a massive 400,000-token context window and knowledge cutoff of August 31, 2025.
Core Features
1. Three Specialized Model Variants
GPT-5.2 Instant is optimized for speed and handles routine queries like information-seeking, writing, and translation with exceptional efficiency. GPT-5.2 Thinking excels at complex structured work including coding, analyzing long documents, mathematics, and multi-step planning. GPT-5.2 Pro delivers maximum accuracy and reliability for the most difficult problems where quality matters more than speed.
2. Professional Knowledge Work Excellence
On GDPval, an evaluation measuring well-specified tasks across 44 occupations, GPT-5.2 Thinking beats or ties top industry professionals on 70.9% of comparisons—nearly double GPT-5.1's 38.8% win rate. Early testing shows ChatGPT Enterprise users save 40-60 minutes per day on average using GPT-5.2.
3. Massive 400K Context Window
GPT-5.2 features a 400,000-token context window, allowing developers to process entire codebases, lengthy documentation, or comprehensive research papers in a single request. This represents over 3x the context length of GPT-5.1's 128,000 tokens.
4. Superior Coding Capabilities
GPT-5.2 scored 55.6% on SWE-Bench Pro (real-world software engineering tasks), outperforming Gemini 3 Pro (43.3%) and Claude Opus 4.5 (52.0%). On SWE-bench Verified for complex multi-language bug fixing, GPT-5.2 achieved 80%, an improvement from GPT-5.1's 76.3%.
5. Advanced Reasoning & Scientific Knowledge
GPT-5.2 Thinking scores 92.4% on GPQA Diamond (doctoral-level science knowledge), up 4.3% from GPT-5.1, giving it a lead over Gemini 3 Pro (91.9%). On ARC-AGI-2 abstract reasoning, GPT-5.2 achieved 52.9%, nearly doubling Gemini 3 Pro's 31.1% and far exceeding Claude Opus 4.5's 37.6%.
6. Dramatically Improved Reliability
GPT-5.2 Thinking responses contain 38% fewer errors than GPT-5.1, with a 50% reduction in errors when interpreting charts, diagrams, and screenshots. The model makes 30% fewer errors overall, making it significantly more dependable for critical decision-making.
7. Enhanced Multimodal Understanding
GPT-5.2 achieves almost perfect accuracy on MRCR v2 (Multi-Round Coreference Resolution) for long-context processing up to 256k tokens. Visual reasoning breakthroughs show >50% reduction in chart and UI understanding errors.
Model Specifications
| Specification | GPT-5.2 Instant | GPT-5.2 Thinking | GPT-5.2 Pro |
|---|---|---|---|
| Context Window | 400,000 tokens | 400,000 tokens | 400,000 tokens |
| Knowledge Cutoff | August 31, 2025 | August 31, 2025 | August 31, 2025 |
| Optimization | Speed | Reasoning | Accuracy |
| API Model Name | gpt-5.2-chat-latest | gpt-5.2 | gpt-5.2-pro |
| Reasoning Effort | Standard | High, xhigh | High, xhigh |
| Best For | Translation, writing | Coding, analysis | Maximum accuracy |
Pricing
| Model | Input Tokens | Output Tokens | Cached Input | Batch API Input | Batch API Output |
|---|---|---|---|---|---|
| GPT-5.2 Instant | $0.75/1M | $5/1M | $0.075/1M | $0.375/1M | $2.5/1M |
| GPT-5.2 Thinking | $1.75/1M | $14/1M | $0.175/1M | $0.875/1M | $7/1M |
| GPT-5.2 Pro | $10/1M | $80/1M | $1/1M | $5/1M | $40/1M |
Note: 40% price increase over GPT-5.1 ($1.25 input, $10 output). 90% discount on cached inputs. 50% discount on Batch API.
Benchmark Performance
Coding Excellence:
- SWE-Bench Pro: 55.6% (vs Gemini 3 Pro 43.3%, Claude Opus 4.5 52.0%)
- SWE-bench Verified: 80% (vs GPT-5.1 76.3%)
Reasoning & Science:
- GPQA Diamond: 92.4% (vs GPT-5.1 88.1%, Gemini 3 Pro 91.9%)
- ARC-AGI-2: 52.9% (vs Gemini 3 Pro 31.1%, Claude Opus 4.5 37.6%)
Mathematics:
- AIME 2025: 100% accuracy with thinking mode + Python tools
Long-Context:
- MRCR v2: Near-perfect accuracy up to 256k tokens
Professional Work:
- GDPval: Beats/ties industry professionals on 70.9% of tasks across 44 occupations
GPT-5.2-Codex Variant
OpenAI also released GPT-5.2-Codex, a specialized version further optimized for agentic coding workflows. Key improvements include:
- Context Compaction: Enhanced long-horizon work capabilities
- Large-Scale Refactoring: Stronger performance on code migrations and refactors
- Windows Optimization: Improved performance in Windows development environments
- Cybersecurity: Significantly enhanced security capabilities
- Agentic Integration: Optimized for use with Codex coding assistant
API Access & Rate Limits
GPT-5.2 is available through OpenAI's API with tiered rate limits:
| Tier | Requests/Min | Tokens/Min | Tokens/Day |
|---|---|---|---|
| Tier 1 | 500 | 500K | 5M |
| Tier 2 | 5,000 | 2M | 20M |
| Tier 3 | 10,000 | 10M | 100M |
| Tier 4 | 15,000 | 20M | 300M |
| Tier 5 | 15,000 | 40M | 1B |
The model supports streaming, function calling, structured outputs, and the new "xhigh" reasoning effort level for maximum quality.
Real-World Use Cases
Software Development: Pietro Schirano asked GPT-5.2 Thinking to build a 3D graphics engine and received a single-file program with interactive camera controls and 4K export in one shot—a task that would typically require extensive iteration.
Game Playing Agent: Developer Clad3815 successfully connected GPT-5.2 to play Pokémon Crystal (Hard Mode) on Twitch, demonstrating the model's ability to function as a real-time decision-making agent in complex gaming environments.
Professional Workflows: Enterprise users report 40-60 minute daily time savings on knowledge work tasks including:
- Creating complex spreadsheets and financial models
- Building professional presentations with data visualization
- Writing and debugging production-quality code
- Analyzing long research documents and contracts
- Multi-step project planning and execution
Comparison with Competitors
| Feature | GPT-5.2 Thinking | Gemini 3 Pro | Claude Opus 4.5 |
|---|---|---|---|
| SWE-Bench Pro | 55.6% | 43.3% | 52.0% |
| GPQA Diamond | 92.4% | 91.9% | 89.7% |
| ARC-AGI-2 | 52.9% | 31.1% | 37.6% |
| Context Window | 400K tokens | 1M tokens | 500K tokens |
| GDPval Win Rate | 70.9% | ~65% | ~60% |
| Error Reduction | 38% vs GPT-5.1 | N/A | N/A |
| Visual Reasoning | >50% improvement | Competitive | Competitive |
Advantages & Unique Selling Points
Compared to Previous Models:
- Nearly 2x Professional Performance: 70.9% GDPval win rate vs 38.8% for GPT-5.1
- 3x Context Window: 400K tokens vs 128K for GPT-5.1
- 38% Fewer Errors: Significantly more reliable for production use
- 50% Better Visual Understanding: Dramatic improvement in chart/diagram interpretation
Versus Competitors:
- Superior Coding: Leads on SWE-Bench Pro by over 12 percentage points
- Best-in-Class Reasoning: Highest ARC-AGI-2 score among frontier models
- Flexible Variants: Three optimized versions for different use cases
- Mature Ecosystem: Comprehensive API, tooling, and integration support
Availability
ChatGPT:
- Rolling out to ChatGPT Plus, Team, and Enterprise users
- Free tier access with usage limits
- Available now on web, iOS, and Android apps
API Access:
- Available immediately to all developers
- Three model endpoints:
gpt-5.2-chat-latest,gpt-5.2,gpt-5.2-pro - Full support for streaming, function calling, structured outputs
- Batch API available with 50% discount
Enterprise Solutions:
- Microsoft Azure Foundry integration
- ChatGPT Enterprise with advanced security
- Custom deployment options available
Tips & Best Practices
- Choose the Right Variant: Use Instant for routine tasks, Thinking for complex reasoning, and Pro when accuracy is paramount
- Leverage Context Window: Take advantage of the 400K context to process entire codebases or documents in one request
- Use Cached Inputs: Save 90% on repeated queries by leveraging prompt caching
- Enable xhigh Reasoning: For critical tasks, use the xhigh reasoning effort level on Thinking or Pro variants
- Batch API for Cost Savings: Use Batch API for non-urgent workloads to save 50% on costs
- Structured Outputs: Utilize structured output mode for reliable JSON/schema generation
Frequently Asked Questions
Q: How does GPT-5.2 differ from GPT-5.1? A: GPT-5.2 offers 3x larger context window (400K vs 128K), 38% fewer errors, 70.9% GDPval win rate vs 38.8%, and significant improvements in coding, reasoning, and visual understanding.
Q: Which variant should I use? A: Use Instant for routine tasks prioritizing speed, Thinking for complex reasoning and coding work, and Pro for maximum accuracy on critical problems where quality matters most.
Q: Is GPT-5.2 worth the 40% price increase? A: For professional knowledge work requiring high reliability, yes. The 38% error reduction and nearly doubled performance on professional tasks justify the cost for most enterprise use cases.
Q: Can GPT-5.2 replace human professionals? A: GPT-5.2 beats or ties professionals on 70.9% of well-specified tasks, but still requires human oversight for critical decisions, creative judgment, and handling ambiguous requirements.
Q: What's the difference between GPT-5.2 and GPT-5.2-Codex? A: GPT-5.2-Codex is a specialized variant optimized specifically for agentic coding workflows with improvements in context compaction, refactoring, Windows environments, and cybersecurity.
Q: Does GPT-5.2 support vision capabilities? A: Yes, GPT-5.2 has significantly improved multimodal understanding with >50% reduction in visual reasoning errors for charts, diagrams, and screenshots.
Conclusion
GPT-5.2 represents OpenAI's most significant model release to date, delivering transformative improvements in professional knowledge work, coding, reasoning, and reliability. With three specialized variants, a massive 400K context window, and near-doubling of performance on professional tasks, GPT-5.2 sets a new standard for frontier AI models.
The 38% error reduction and 70.9% win rate against human professionals make GPT-5.2 Thinking particularly compelling for enterprises seeking reliable AI assistance for complex workflows. While the 40% price increase may give some pause, the dramatic performance improvements and time savings (40-60 minutes daily for enterprise users) provide strong ROI justification.
Whether you're building sophisticated software systems, analyzing complex data, or tackling challenging research problems, GPT-5.2's combination of intelligence, reliability, and versatility makes it an essential tool for modern knowledge workers and developers.
Comments
No comments yet. Be the first to comment!
Related Tools
Grok
x.ai
xAI's frontier multimodal AI model with real-time X data access, 1M token context, Aurora image generation, and industry-leading reasoning capabilities.
MiniMax M2.1
www.minimax.io/news/minimax-m21
Open-source 230B parameter MoE model optimized for multi-language coding, agentic workflows, and real-world development tasks with 74% SWE-bench performance.
Claude Opus 4.5
www.anthropic.com
Anthropic's most intelligent model combining maximum capability with practical performance, featuring unique effort parameter control and exceptional long-horizon coding efficiency.
Related Insights

Anthropic Subagent: The Multi-Agent Architecture Revolution
Deep dive into Anthropic multi-agent architecture design. Learn how Subagents break through context window limitations, achieve 90% performance improvements, and real-world applications in Claude Code.
Complete Guide to Claude Skills - 10 Essential Skills Explained
Deep dive into Claude Skills extension mechanism, detailed introduction to ten core skills and Obsidian integration to help you build an efficient AI workflow
Skills + Hooks + Plugins: How Anthropic Redefined AI Coding Tool Extensibility
An in-depth analysis of Claude Code's trinity architecture of Skills, Hooks, and Plugins. Explore why this design is more advanced than GitHub Copilot and Cursor, and how it redefines AI coding tool extensibility through open standards.