// pure quality
Opus 4.7 vs GPT-5 for agents
On llmrelay both models cost the same — $2.50/M input, roughly the same output. So this comes down to which one actually does your work better. Depends on the work.
Claude Opus 4.7
Anthropic — released 2026
- — SWE-bench Verified leader
- — Sharper multi-step planning
- — Tool use with fewer hallucinated calls
- — Handles 20+ step agent trajectories cleaner
- — Better at code review and debugging
GPT-5
OpenAI — released 2026
- — Stronger pure reasoning benchmarks
- — Native function-calling ecosystem is deeper
- — Wider tool support (WebSearch, file search built-in)
- — Better at math-heavy tasks
- — More responsive to system prompt tuning
Pick Opus 4.7 for
Multi-file coding agents, long agent trajectories, code review, real refactors. Anywhere the model needs to "hold the whole thing in its head" over many turns.
Pick GPT-5 for
Structured reasoning, math, planning-heavy pipelines that already use OpenAI's function-calling patterns. Anywhere you have a big library of OpenAI tools already wired up.
The honest recommendation
Route by task type. Coding agents → Opus. Math/reasoning agents → GPT-5. On llmrelay you don't have to choose — one key covers both, and you can switch models per request.