GPT-5.2 Released: OpenAI Strikes Back Against Gemini 3 with Three Variants

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Key Highlights

• Three Variants: Instant (fast writing), Thinking (structured coding), Pro (professional challenges) for different use cases
• Reasoning Breakthrough: GPT-5.2 Pro achieves 90% on ARC-AGI-1, first model to cross this threshold with 390× cost reduction
• Professional Capability: Beats or ties industry professionals 70.9% of the time on GDPval knowledge work tasks
• Extended Context: 400,000 tokens context window with 128,000 tokens single output support
• Updated Knowledge: Knowledge cutoff advanced to August 31, 2025, covering latest tech and events

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Background

• GPT-5.2 Instant (gpt-5.2-chat-latest): Fast responses for writing and information seeking
• GPT-5.2 Thinking (gpt-5.2): Structured work for coding and planning
• GPT-5.2 Pro (gpt-5.2-pro): Highest accuracy for complex professional questions

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Detailed Analysis

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Core Features

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Performance Highlights

• ARC-AGI-1: GPT-5.2 Pro reaches 90%, first model to cross this threshold
• Cost Optimization: Compared to last year’s o3-preview (87%), cost reduced by approximately 390×
• ARC-AGI-2: Achieves 54.2% on more challenging abstract reasoning tasks

• GPQA Diamond: GPT-5.2 Pro reaches 93.2% on graduate-level Google-proof Q&A
• FrontierMath: GPT-5.2 Thinking solves 40.3% of expert-level mathematics problems

• SWE-Bench Pro: Achieves 55.6% on real-world software engineering tasks
• GDPval: Beats or ties industry professionals 70.9% of the time

• Near-perfect accuracy within 256k tokens
• Equivalent to approximately 200,000 words or a complete novel

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Technical Specifications

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Variant Comparison

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Practical Applications

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Recommended Scenarios

1. Complex Reasoning Tasks: Abstract problem-solving, logical reasoning, mathematical proofs
2. Software Engineering: Code generation, bug fixing, architecture design
3. Scientific Research: Graduate-level Q&A, literature review, data analysis
4. Professional Knowledge Work: Report writing, solution design, decision support
5. Long Text Processing: 400k token context supports complete books and codebases

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Code Examples

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OpenAI Format (Recommended)

from openai import OpenAI

client = OpenAI(
    api_key="your-apiyi-key",
    base_url="https://api.apiyi.com/v1"
)

# Use GPT-5.2 Thinking (recommended for coding tasks)
response = client.chat.completions.create(
    model="gpt-5.2",
    messages=[
        {
            "role": "user",
            "content": "Design a high-performance distributed caching system with architecture diagram and core code..."
        }
    ],
    max_tokens=8192
)

print(response.choices[0].message.content)

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Using GPT-5.2 Pro (Highest Accuracy)

# Use GPT-5.2 Pro for complex scientific problems
response = client.chat.completions.create(
    model="gpt-5.2-pro",
    messages=[
        {
            "role": "user",
            "content": "Derive mathematical proof of quantum entanglement and explain its physical significance..."
        }
    ],
    max_tokens=16384
)

print(response.choices[0].message.content)

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Using Locked Version (Enterprise Recommended)

# Use locked version for consistent outputs
response = client.chat.completions.create(
    model="gpt-5.2-2025-12-11",  # Locked version
    messages=[
        {
            "role": "user",
            "content": "Analyze key trends in this market report..."
        }
    ]
)

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Best Practices

1. Choose the Right Variant:
   • Instant: Fast writing, email replies, simple queries
   • Thinking (default): Coding, planning, structured tasks
   • Pro: Scientific research, complex reasoning, critical decisions
2. Leverage Extended Context:
   • 400k token context supports ~300k words
   • Suitable for complete codebase analysis and long documents
   • Supports 128k tokens single output
3. Optimize Costs with Caching:
   • Cached input gets 90% discount
   • Ideal for scenarios reusing same system prompts
   • High-volume applications can significantly reduce costs
4. Enterprise Application Tips:
   • Use locked version (gpt-5.2-2025-12-11) for consistent outputs
   • Production environments recommended Thinking or Pro
   • Development/testing can use Instant to reduce costs

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Pricing & Availability

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Pricing Information

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Promotion

• Top up $100+, get 10% bonus
• Top up $500+, get 15% bonus
• Top up $1000+, get 20% bonus

• GPT-5.2 Thinking: Input $1.40, Output $11.20 (80% discount)
• GPT-5.2 Pro: Input $16.80, Output $134.40 (80% discount)

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Available Models

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Purchase Channels

• Website: apiyi.com
• API Endpoint: https://api.apiyi.com/v1
• Supports OpenAI-compatible format
• Compatible with all OpenAI SDKs

• OpenAI Official API
• Azure OpenAI Service
• AWS Bedrock (coming soon)

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Summary & Recommendations

• Reasoning Champion: 90% on ARC-AGI-1, first to cross this threshold
• Professional Capability: 70.9% on GDPval beats professionals
• Extended Context: 400k token context, 128k token output
• Updated Knowledge: Cutoff advanced to August 31, 2025

1. Daily Tasks: Use Instant variant, fast and cost-effective
2. Coding Development: Use Thinking variant (default gpt-5.2), strong logical reasoning
3. Scientific Research: Use Pro variant, highest accuracy
4. Enterprise Production: Use locked version (gpt-5.2-2025-12-11), consistent outputs

• Researchers needing strong reasoning capabilities
• Developers handling complex coding tasks
• Professionals seeking latest knowledge
• Codebase analysis scenarios requiring extended context

• Cost-Sensitive: GPT-5.1 remains value choice ($1.25/$10)
• Performance-Focused: GPT-5.2 Thinking balances performance and cost
• Ultimate Pursuit: GPT-5.2 Pro for most complex tasks