For Developers/Models/Compare/Claude Opus 4.7 vs GPT-5

Claude Opus 4.7 vs GPT-5

Pricing, benchmarks, and use case comparison

Quick take

  • Claude Opus 4.7 leads on 1 of 1 shared benchmarks, including SWE-bench Verified (87.6% vs 74.9%).
  • Claude Opus 4.7 is meaningfully stronger at long context (91 vs 80 on our capability index).
  • GPT-5 is meaningfully stronger at cost efficiency (88 vs 70).
  • GPT-5 is 75% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
  • Claude Opus 4.7 has a 1M context window vs 400,000 tokens (128,000 max output) - better for whole-repo or long-document work.

Specs comparison

Claude Opus 4.7GPT-5
ProviderAnthropicOpenAI
TypeClosed sourceClosed source
Context window1M400,000 tokens (128,000 max output)
Input / 1M tokens$5.00$1.25
Output / 1M tokens$25.00$10.00
Release date2026-042025-08

Benchmarks

BenchmarkClaude Opus 4.7GPT-5
SWE-bench Verified87.6%74.9%
SWE-bench Pro64.3%-
AIME 2025-94.6%
GPQA (GPT-5 pro)-88.4%

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose Claude Opus 4.7 if...

  • You have a pipeline pinned to Opus 4.7 and need stability
  • Your workload is vision-heavy and benefits from higher-resolution image input
  • You need top-tier coding with 1M context but haven't migrated to 4.8 yet
  • You want documented, broadly available Opus-class behavior
Full Claude Opus 4.7 details →

Choose GPT-5 if...

  • You want strong reasoning at the lowest frontier-model price
  • Existing GPT-5-based systems that are already tuned and validated
  • General coding, math, and reasoning workloads on a budget
Full GPT-5 details →

Compare Claude Opus 4.7 with others