GPT-5.4 Launch: OpenAI's Most Powerful Professional Model with Native Computer Use

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Key Highlights

• Most Powerful Professional Model: GPT-5.4 outperforms office workers 83% of the time on professional tasks including document creation, spreadsheet analysis, and presentation design
• Native Computer Use: OpenAI’s first general-purpose model with native, state-of-the-art computer-use capabilities in Codex and API
• Million-Token Context: API version supports up to 1.05M token context window, OpenAI’s largest ever
• Fewer Errors: 33% fewer errors in individual claims, 18% fewer errors in overall responses compared to GPT-5.2
• Three Variants: Standard (GPT-5.4), Thinking (deep analysis), Pro (high-performance enterprise)

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Background

• GPT-5.4 (Standard): General-purpose flagship for everyday and professional tasks
• GPT-5.4 Thinking: Deep analysis and multi-step problem reasoning
• GPT-5.4 Pro: High-performance enterprise variant optimized for scale

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Detailed Analysis

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Core Features

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Performance Highlights

• GDPval 83%: Outperforms human office workers in 83% of professional knowledge tasks
• Excels at document creation, spreadsheet analysis, presentation design
• Financial plugins for Microsoft Excel and Google Sheets

• OpenAI’s first general-purpose model with native computer-use in Codex and API
• 75% on OSWorld-Verified benchmark
• Supports multi-step cross-application automated workflows

• SWE-Bench Pro reaches 57.7%, continuous improvement
• Ranks #1 on both APEX-Agents and WebArena Verified
• Significantly improved token efficiency, solving same problems with fewer tokens

• 33% fewer errors in individual claims vs GPT-5.2
• 18% fewer errors in overall responses

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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. Enterprise Office Automation: Document creation, spreadsheet analysis, presentation design
2. Software Engineering: Code generation, bug fixing, autonomous coding agents
3. Deep Research: Long document analysis, cross-source research, data mining
4. Autonomous Agent Workflows: Computer use, multi-step cross-application automation
5. Financial Data Processing: Excel/Sheets financial plugins, report generation

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Code Examples

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Standard Usage

from openai import OpenAI

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

# Use GPT-5.4 standard version
response = client.chat.completions.create(
    model="gpt-5.4",
    messages=[
        {
            "role": "user",
            "content": "Analyze this quarterly financial report, generate key metrics summary and trend predictions..."
        }
    ],
    max_tokens=8192
)

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

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Using GPT-5.4 Pro

# Use GPT-5.4 Pro for high-performance enterprise tasks
response = client.chat.completions.create(
    model="gpt-5.4-pro",
    messages=[
        {
            "role": "user",
            "content": "Design a complete microservices architecture with service discovery, load balancing, circuit breaker, and distributed tracing..."
        }
    ],
    max_tokens=16384
)

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

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Best Practices

1. Choose the Right Variant:
   • GPT-5.4: Daily professional tasks, balance of performance and cost
   • GPT-5.4 Thinking: Complex problems requiring deep reasoning
   • GPT-5.4 Pro: Enterprise high-throughput applications
2. Leverage Million-Token Context:
   • 1M token context supports entire codebases or multiple long documents
   • Note pricing adjustments beyond 272K tokens
3. Utilize Computer Use Capability:
   • Build autonomous agents through Codex and API
   • Implement cross-application multi-step automated workflows

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Pricing & Availability

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Pricing Information

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Promotion

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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

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Summary & Recommendations

• Professional Champion: Outperforms 83% of office workers
• Native Computer Use: First general-purpose model with native CUA
• Million-Token Context: 1.05M tokens, OpenAI’s largest
• Fewer Errors: 18-33% error rate reduction

1. Daily Professional Tasks: Use GPT-5.4 standard, balanced performance and cost
2. Deep Analysis: Use GPT-5.4 Thinking for complex problems
3. Enterprise Applications: Use GPT-5.4 Pro for high throughput and low latency
4. Cost-Sensitive: GPT-5.2 remains the value choice

• Enterprise users automating office workflows
• Developers building autonomous agents and workflows
• Professionals processing ultra-long documents and codebases
• Researchers seeking highest accuracy