Claude Opus 4.5 Launch: #1 in Coding, 1/3 the Price

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Key Highlights

• Top Coding: 80.9% on SWE-bench Verified, surpassing GPT-5.1-Codex-Max (77.9%) and Gemini 3 Pro (76.2%)
• Price Drop: $5/$25 per million tokens, only 1/3 of previous Opus pricing
• Coding Champion: Exceeds historical human top scores on internal engineering interviews, 10.6% higher than Sonnet 4.5 on Aider Polyglot
• Smart Reasoning: New effort parameter adjusts reasoning depth, medium mode saves 76% output tokens vs Sonnet 4.5
• API易 Available: Supports both OpenAI and Anthropic native formats, works with Claude Code desktop app

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Background

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Detailed Analysis

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Core Features

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Performance Benchmarks

• Achieves 80.9% accuracy on real codebase fixing tasks
• Exceeds historical human top scores on internal engineering recruitment exams
• 10.6% improvement over Sonnet 4.5 on Aider Polyglot multilingual programming tests

• New effort parameter adjusts reasoning depth (low/medium/high)
• Medium mode matches Sonnet 4.5 output quality while using only 24% of output tokens
• Significantly reduces costs while maintaining quality

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Technical Specifications

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Practical Applications

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Recommended Use Cases

1. Complex Code Development: Multi-file project refactoring, architecture design, code review
2. Software Engineering: Bug fixing, feature implementation, test case generation
3. Deep Reasoning Analysis: Technical decisions, solution comparison, problem diagnosis
4. Multimodal Applications: UI design analysis, chart data extraction, document understanding
5. Long Text Processing: 200K token context supports full codebase analysis

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Code Examples

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OpenAI Format

from openai import OpenAI

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

response = client.chat.completions.create(
    model="claude-opus-4-5-20251101",
    messages=[
        {
            "role": "user",
            "content": "Refactor this Python code to improve performance and add error handling..."
        }
    ],
    # Optional: set reasoning depth (default medium)
    extra_body={
        "anthropic_effort": "high"  # low/medium/high
    }
)

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

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Anthropic Native Format

import anthropic

client = anthropic.Anthropic(
    api_key="your-apiyi-key",
    base_url="https://api.anthropic-hub.com"
)

message = client.messages.create(
    model="claude-opus-4-5-20251101",
    max_tokens=8192,
    messages=[
        {
            "role": "user",
            "content": "Analyze the pros and cons of this architecture design..."
        }
    ],
    # Set reasoning depth
    extra_headers={
        "anthropic-effort": "high"
    }
)

print(message.content[0].text)

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Using in Claude Code

{
  "model": "claude-opus-4-5-20251101",
  "apiKey": "your-apiyi-key",
  "baseURL": "https://api.apiyi.com/v1"
}

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Best Practices

1. Choose the right reasoning mode:
   • low mode: Quick response, simple tasks, cost-sensitive scenarios
   • medium mode (default): Balances quality and cost, suitable for most scenarios
   • high mode: Complex reasoning, critical tasks, quality-first scenarios
2. Leverage long context:
   • 200K token context can hold ~150K Chinese characters or full codebases
   • Ideal for multi-turn dialogue, long document analysis, repository-level operations
3. Apply multimodal capabilities:
   • Upload UI screenshots for AI to generate corresponding code
   • Analyze architecture diagrams and get optimization suggestions
   • Extract data from charts and generate reports
4. Cost optimization tips:
   • Use medium mode first (saves ~70% output tokens vs high mode)
   • Compared to previous Opus, same tasks cost 66% less
   • With API易 recharge bonuses, actual cost can be as low as 80%

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Pricing & Availability

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Pricing

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Recharge Bonuses

• Recharge ¥100+: 10% bonus
• Recharge ¥500+: 15% bonus
• Recharge ¥1000+: 20% bonus

• Input: $4 / million tokens (80% of list price)
• Output: $20 / million tokens (80% of list price)

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Purchase Channels

• Website: apiyi.com
• OpenAI format support (https://api.apiyi.com/v1)
• Anthropic native format support (https://api.anthropic-hub.com)
• Compatible with Claude Code desktop app

• Anthropic official API
• AWS Bedrock
• Google Cloud Vertex AI
• Azure AI

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Summary & Recommendations

• Coding Champion: 80.9% SWE-bench Verified, surpassing all competitors
• Best Value: Only 1/3 of previous generation pricing, effort parameter further optimizes costs
• Reasoning Depth: High mode for complex tasks, medium mode balances quality and cost
• Mature Ecosystem: Supports OpenAI/Anthropic dual formats, compatible with Claude Code

1. Complex Coding Tasks: Prioritize Opus 4.5 with high or medium mode
2. Cost Optimization: Use medium mode, leverage API易 recharge bonuses to reduce costs
3. Rapid Development: Downgrade to Sonnet 4.5 ($3/$15) for simple tasks to save costs
4. Long Text Processing: Fully utilize 200K token context for complete project processing

• Developers needing strongest coding capabilities
• Researchers handling complex reasoning tasks
• Enterprise applications prioritizing quality
• Codebase analysis scenarios requiring long context support