{
  "name": "Claude Opus 4.6",
  "category": "Anthropic Model",
  "developer": "Anthropic",
  "model_family": "Claude 4",
  "release_date": "February 2025",
  "swe_bench_verified_score": "~60-65% on SWE-bench Verified (state-of-the-art as of early 2025) [uncertain]",
  "swe_bench_full_score": "Leading performance on full benchmark [uncertain]",
  "swe_bench_lite_score": "Top-tier performance [uncertain]",
  "other_coding_benchmarks": "Excellent across HumanEval, MBPP, and custom coding evaluations; benchmark leader",
  "input_price_per_1m": "$5.00",
  "output_price_per_1m": "$15.00",
  "pricing_tier_notes": "Premium pricing reflects top-tier performance; significant prompt caching discounts available",
  "agentic_coding_features": "Claude Code CLI, extended thinking, computer use, tool calling, web search, artifact generation",
  "context_window": "200K tokens",
  "supported_tools": "Bash, file operations, web search, code execution, browser automation, API integration",
  "multi_file_handling": "Exceptional - Claude Code specifically designed for large-scale codebase work",
  "reddit_sentiment": "Very positive; considered the gold standard for coding and reasoning tasks",
  "x_twitter_sentiment": "Highly praised by AI researchers and developers; benchmark for comparison",
  "common_praises": "Best reasoning capabilities, excellent at following complex instructions, nuanced understanding, safe outputs",
  "common_complaints": "Expensive, can be slow for large tasks, sometimes overly cautious/refuses valid requests",
  "notable_use_cases_shared": "Complex system architecture, safety-critical code, research projects, enterprise applications",
  "ideal_for": "Mission-critical coding, complex reasoning, safety-sensitive applications, enterprise use",
  "not_recommended_for": "High-volume low-complexity tasks where cost matters more than quality",
  "comparison_to_opus_46": "This IS Claude Opus 4.6 - the benchmark being compared against",
  "can_replace_opus_46": "N/A - This is the reference model",
  "replacement_confidence_score": 10,
  "replacement_tradeoffs": "N/A - Reference model",
  "cost_comparison_vs_opus": "Reference pricing ($5/$15 per 1M)",
  "uncertain": [
    "swe_bench_verified_score",
    "swe_bench_full_score",
    "swe_bench_lite_score"
  ]
}