AnthropicClaude Opus 4.7VSOpenAIGPT-5 mini
Our Take
We recommend Claude Opus 4.7 if you need peak intelligence for reasoning and coding tasks, or the 14.5x cheaper GPT-5 mini to optimize your budget for high-volume pipelines. While Claude Opus 4.7 holds a clear performance lead, it carries a heavy price premium. Choose Claude Opus 4.7 for complex logic, or GPT-5 mini for budget efficiency.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Claude Opus 4.7 scored 64.3%, while GPT-5 mini scored 45.7%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Claude Opus 4.7 scored 94.2%, while GPT-5 mini scored 81.6%.
Cost Efficiency: GPT-5 mini pricing ($0.25/M input, $2/M output) is 14.5x cheaper than Claude Opus 4.7 ($5/M input, $25/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+18.6%)
64.3%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+12.6%)
94.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$10.00Input: $5.00 | Output: $25.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
45.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
81.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)14.5x cheaper
$0.69Input: $0.25 | Output: $2.00Context Window
400k tokensFrequently Asked Questions about Claude Opus 4.7 vs GPT-5 mini
GPT-5 mini is cheaper than Claude Opus 4.7. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 14.5x cheaper than Claude Opus 4.7 at $10.00/1M tokens.
Claude Opus 4.7 is better for coding tasks on this benchmark. It scores 64.3% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to GPT-5 mini which scores 45.7%.
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