Claude Opus 4.6 wins on coding (99 vs 96). For most workflows, GPT-5.5 is the stronger default — best openai flagship for agentic coding, research, and computer-use work.
The safest GPT-5.5 vs Claude Opus 4.6 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-5.5 is the strongest answer here for GPT-5.5 vs Claude Opus 4.6 — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.
Claude Opus 4.6 handles the same job for about 14% less per token. Start here and only move up if the output is not good enough.
GPT-5.5 is the fastest of these for GPT-5.5 vs Claude Opus 4.6 — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Opus 4.6 leads on coding with a score of 99 vs 96 for GPT-5.5.
Both models are similarly priced — the decision comes down to capability, not cost.
GPT-5.5 is the stronger default for coding tasks.
GPT-5.5 is the safer default: it is built for agentic coding, computer-use workflows, and complex research tasks, which covers most of what people bring to this comparison.
Switch to Claude Opus 4.6 when your work is mostly agentic coding and complex multi-step reasoning; on that narrower brief it is the better tool.
Both models serve different primary workflows — GPT-5.5 for agentic coding and computer-use workflows, Claude Opus 4.6 for agentic coding and complex multi-step reasoning — so running each where it has a clear edge often beats forcing one to do both.
Switch the scoring lens to see whether the GPT-5.5 vs Claude Opus 4.6 answer changes when cost, speed, or long-document depth leads the decision.
OpenAI / Premium / Sep 3, 2026
Best OpenAI flagship for agentic coding, research, and computer-use work.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You only care about the highest public coding benchmark score or need a cheaper high-volume model.
Where the GPT-5.5 vs Claude Opus 4.6 recommendation shifts once you weigh price or latency differently.
Best OpenAI flagship for agentic coding, research, and computer-use work.
Previous Opus flagship, now superseded by Claude Opus 4.7.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| GPT-5.5OpenAI | $5.00/1M | $30.00/1M | $110 | 1M tokens | Balanced | 96 | 92 | 94 |
| Claude Opus 4.6Anthropic | $5.00/1M | $25.00/1M | $100 | 1M tokens | Deliberate | 99 | 94 | 96 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for GPT-5.5 vs Claude Opus 4.6, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for GPT-5.5 vs Claude Opus 4.6: 96/100 on coding, with the widest margin of anything in this line-up.
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
You only care about the highest public coding benchmark score or need a cheaper high-volume model.
The strongest OpenAI pick for agentic coding and knowledge work. Claude Opus 4.7 still wins on the public SWE-Bench Pro coding number, but GPT-5.5 is the better OpenAI default when ecosystem, Codex, or computer-use workflows matter.
Full pricing, benchmark table and release notes on the GPT-5.5 page.
The cost-conscious pick for GPT-5.5 vs Claude Opus 4.6, about 14% less per token than GPT-5.5 than the top choice while holding 99/100 on coding.
Anthropic's previous Opus flagship for high-stakes coding, reasoning, and deep research before Opus 4.7.
You want the current premium coding leader, need lower cost, or are starting a new integration.
Still strong for high-stakes engineering work, but Opus 4.7 is the newer premium coding leader. For most teams, Sonnet 4.6 remains the smarter lower-cost default.
Full pricing, benchmark table and release notes on the Claude Opus 4.6 page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-5.5 wins on more of the categories we score — coding, research, reasoning — so it is the better default of the two. Claude Opus 4.6 is the better pick when your work is mostly agentic coding and complex multi-step reasoning. Neither is universally "better": GPT-5.5 is aimed at agentic coding and computer-use workflows, Claude Opus 4.6 at agentic coding and complex multi-step reasoning.
Both models are similarly priced at $5/1M input tokens. The decision should come down to capability, not cost.
Both GPT-5.5 and Claude Opus 4.6 have the same 1M context window.
Claude Opus 4.6 is better for coding with a score of 99 vs GPT-5.5's 96 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
GPT-5.5 is faster with a balanced speed rating (score: 3) vs Claude Opus 4.6's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Opus 4.6 latency penalty is usually invisible.
Claude Opus 4.7 leads GPT-5.5 on SWE-Bench Pro for pure coding ceiling. Premium API pricing makes it less attractive for high-volume low-risk work. Avoid it if you only care about the highest public coding benchmark score or need a cheaper high-volume model. That is the main case for looking at Claude Opus 4.6 instead.
Premium pricing ($15/$75) makes it expensive for high-volume usage. Sonnet 4.6 is only 1.2 points behind on SWE-bench at 5× lower cost. Avoid it if you want the current premium coding leader, need lower cost, or are starting a new integration. Against GPT-5.5 specifically, the gap shows up most on coding (96 vs 99).
Take a moderate workload of 10M input and 2M output tokens a month. GPT-5.5 runs $110.00 (at $5/1M in and $30/1M out); Claude Opus 4.6 runs $100.00 (at $5/1M in and $25/1M out). That is a $10.00/month difference — Claude Opus 4.6 is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is GPT-5.5 for agentic coding and computer-use workflows, with Claude Opus 4.6 handling agentic coding and complex multi-step reasoning. Since GPT-5.5 is both the stronger and the cheaper option here, a split mainly makes sense if Claude Opus 4.6 covers a capability you specifically need.