Head-to-head · Updated
Data verifiedClaude Opus 4.7 is the better pure coding pick by the current public SWE-Bench Pro number: 64.3% vs GPT-5.5's 58.6%. GPT-5.5 is the stronger OpenAI/Codex ecosystem choice, with excellent Terminal-Bench performance, computer-use oriented workflows, and a 1M API context window. Pick Opus 4.7 when coding ceiling matters most. Pick GPT-5.5 when your stack, agents, or team workflows already center on OpenAI.
Claude Opus 4.7
Best premium model for coding agents and high-stakes engineering work.
WinnerGPT-5.5
Best OpenAI flagship for agentic coding, research, and computer-use work.
| Claude Opus 4.7 | GPT-5.5 | |
|---|---|---|
| Input cost / 1M tokens | $$5.00/1M | $$30.00/1M |
| Output cost / 1M tokens | $$25.00/1M | $$180.00/1M |
| Context window | 1M tokens | 1M tokens |
| Speed | Deliberate | Balanced |
| Price tier | Premium | Premium |
| Benchmarks | ||
| SWE-bench (coding) | 80% | — |
| Arena Elo | 1,800 | — |
| MMLU | 92% | — |
Which model wins for each use case — and why.
Claude Opus 4.7 leads on SWE-Bench Pro at 64.3% vs GPT-5.5 at 58.6%, so it gets the nod for difficult autonomous coding tasks.
GPT-5.5 is the better fit when you need OpenAI APIs, Codex workflows, ChatGPT rollout, or OpenAI-specific agent integrations.
Claude Opus 4.7 is listed at $5/$25 per million tokens. GPT-5.5 is $5/$30, so input is tied and Opus has cheaper output.
Both models support a 1M token API context window, so context length is not the deciding factor between them.
Opus 4.7 is the benchmark-first coding choice; GPT-5.5 is the better OpenAI-native agent choice. The right answer depends on where your tooling lives.
Pick Claude Opus 4.7 if…
Pick GPT-5.5 if…
Bottom line
For most workflows, Claude Opus 4.7 is the stronger choice.
The strongest public coding choice by SWE-Bench Pro right now. Use it when quality matters more than latency or token cost.
Is Claude Opus 4.7 or GPT-5.5 better for coding?
Claude Opus 4.7 is the better pure coding pick by public SWE-Bench Pro: 64.3% vs GPT-5.5 at 58.6%. GPT-5.5 is still excellent, especially if your workflow is OpenAI/Codex-first.
Is GPT-5.5 cheaper than Claude Opus 4.7?
No. Input pricing is tied at $5 per million tokens, while Claude Opus 4.7 has lower output pricing at $25 per million vs GPT-5.5 at $30 per million.
Which has the larger context window?
Both support a 1M token API context window, so context length is not the deciding factor between them.
When should I choose GPT-5.5 instead?
Choose GPT-5.5 when OpenAI ecosystem fit matters: Codex, ChatGPT, OpenAI APIs, or workflows built around OpenAI agent tooling.
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