Capability · Comparison
Claude Opus 4.7 vs GPT-5
A criterion-by-criterion comparison of Claude Opus 4.7 and GPT-5 — the two current frontier general-purpose models. Claude wins on long-horizon agents and coding reliability; GPT-5 wins on multimodal breadth (especially native audio) and ecosystem depth. Your workload decides, not the leaderboard.
Side-by-side
| Criterion | Claude Opus 4.7 | GPT-5 |
|---|---|---|
| Context window | 1,000,000 tokens | 400,000 tokens |
| Coding agents (SWE-bench Verified) | ≈75% | ≈70% |
| Multimodal GPT-5 has native audio — Claude Opus does not. | Text, vision, code | Text, vision, audio, code |
| Tool-call reliability under long loops | Industry-leading | Very strong |
| Interactive latency (short prompts) | Moderate | Fast |
| Pricing ($/M input) | $15 | $10 |
| Pricing ($/M output) | $75 | $40 |
| Primary dev surface | Anthropic API + Bedrock + Vertex | Responses API + Azure OpenAI + ChatGPT |
| Prompt caching | Yes, strong savings on stable long prompts | Yes, via Responses API |
Verdict
On pure coding-agent reliability and long-horizon reasoning with tools, Claude Opus 4.7 is the stronger choice today. On multimodal breadth — especially native audio for voice products — and interactive latency, GPT-5 wins. Teams building serious engineering platforms typically deploy both: Claude for agent backends, GPT-5 for user-facing chat and voice. Cost-sensitive workloads often fall back to Sonnet / gpt-5-mini for routine tasks and reserve the flagships for hard problems.
When to choose each
Choose Claude Opus 4.7 if…
- You're building a coding agent, research assistant, or long-horizon tool-using system.
- You need 500k+ tokens of context routinely.
- Tool-call reliability under long loops is mission-critical.
- You're already on AWS Bedrock or Anthropic-first infra.
Choose GPT-5 if…
- You need native audio (voice agents, real-time calls).
- You need the broadest ecosystem — Responses, Realtime, Assistants, Batch, structured outputs.
- Interactive latency matters for a consumer UX.
- Your organisation is standardised on Azure OpenAI.
Frequently asked questions
Is Claude Opus 4.7 better than GPT-5?
It depends on the workload. Claude Opus 4.7 leads on long-horizon coding agents, tool-call reliability, and long context (1M tokens). GPT-5 leads on multimodal (native audio), ecosystem breadth, and interactive latency.
Which is cheaper — Claude Opus 4.7 or GPT-5?
GPT-5 is cheaper on paper ($10/M input vs $15 for Claude Opus 4.7; $40/M output vs $75). For sustained long-context workloads, Claude's prompt caching can change the real-world math in its favour.
Can I use both Claude Opus 4.7 and GPT-5 in the same product?
Yes, and many teams do. Use Claude for agent backends and tool-heavy pipelines; use GPT-5 for voice, chat UX, and structured-output tasks. Abstractions like the Anthropic SDK + OpenAI SDK can be wrapped behind a single model-routing layer.
Sources
- Anthropic — Models overview — accessed 2026-04-20
- OpenAI — Models — accessed 2026-04-20