Claude Opus 5 wins on coding (100 vs 97). GPT-5.6 Sol wins on price ($2 vs $5/1M input). For most workflows, Claude Opus 5 is the stronger default — best premium model for agentic coding — near-fable 5 quality at half the price.
The safest Claude Opus 5 vs GPT-5.6 Sol default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Opus 5 is the strongest answer here for Claude Opus 5 vs GPT-5.6 Sol — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.
GPT-5.6 Sol handles the same job for about 20% less per token. Start here and only move up if the output is not good enough.
Claude Opus 5 is the fastest of these for Claude Opus 5 vs GPT-5.6 Sol — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Opus 5 leads on coding with a score of 100 vs 97 for GPT-5.6 Sol.
GPT-5.6 Sol has the larger context window: 1.05M vs 1M for Claude Opus 5.
GPT-5.6 Sol is cheaper at $2/1M input tokens vs $5/1M for Claude Opus 5.
Go with Claude Opus 5 if you want one model to handle coding and research — it targets complex agentic coding and enterprise agent workflows.
Choose GPT-5.6 Sol when your work is mostly frontier agentic coding and deep research — that is the workload it was tuned for.
GPT-5.6 Sol is the more cost-efficient option at $2/1M input — Claude Opus 5 costs 3x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the Claude Opus 5 vs GPT-5.6 Sol answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / Sep 3, 2026
Best premium model for agentic coding — near-Fable 5 quality at half the price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need fast interactive latency (Sonnet 5 is quicker and one-fifth the price) or absolute frontier ceiling (Fable 5).
Where the Claude Opus 5 vs GPT-5.6 Sol recommendation shifts once you weigh price or latency differently.
Best premium model for agentic coding — near-Fable 5 quality at half the price.
Best OpenAI flagship — leads terminal coding and agentic browsing.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Opus 5Anthropic | $5.00/1M | $25.00/1M | $100 | 1M tokens | Deliberate | 100 | 96 | 98 |
| GPT-5.6 SolOpenAI | $4.00/1M | $20.00/1M | $80 | 1.1M tokens | Deliberate | 97 | 94 | 97 |
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 Claude Opus 5 vs GPT-5.6 Sol, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for Claude Opus 5 vs GPT-5.6 Sol: 100/100 on coding, with the widest margin of anything in this line-up.
Anthropic's flagship-tier Opus that comes close to Claude Fable 5's frontier intelligence at half the price — the new default for complex agentic coding and enterprise agents.
You need fast interactive latency (Sonnet 5 is quicker and one-fifth the price) or absolute frontier ceiling (Fable 5).
The new premium coding default. Opus 5 takes the SWE-bench Verified lead from Opus 4.8 at the same $5/$25 price, and gets within half a point of Fable 5 on agentic coding at half the cost. Choose Fable 5 only when absolute frontier intelligence matters more than budget.
Full pricing, benchmark table and release notes on the Claude Opus 5 page.
The value option for Claude Opus 5 vs GPT-5.6 Sol: about 20% less per token than Claude Opus 5, at 97/100 on coding. Worth starting here and moving up only if the output disappoints.
The flagship of OpenAI's GPT-5.6 family — its most capable reasoning and agentic-coding model, with an 'ultra' mode that spawns sub-agents for long autonomous workflows.
Repo-level coding is the main job — Opus 5 leads SWE-bench Pro by ~15 points — or you're cost-sensitive (Terra is 60% cheaper at 1–4 points off).
OpenAI's strongest model and the terminal-workflow leader. Sol beats everything on Terminal-Bench and agentic browsing, but Claude Opus 5 remains the better pick for repository-level software engineering.
Full pricing, benchmark table and release notes on the GPT-5.6 Sol page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Newsletter
We email when the Claude Opus 5 vs GPT-5.6 Sol pick changes, when one of these models moves on price, or when something new displaces the current leader.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Claude Opus 5 wins on more of the categories we score — coding, research, reasoning — so it is the better default of the two. GPT-5.6 Sol is the better pick when your work is mostly frontier agentic coding and deep research. Neither is universally "better": Claude Opus 5 is aimed at complex agentic coding and enterprise agent workflows, GPT-5.6 Sol at frontier agentic coding and deep research.
GPT-5.6 Sol is cheaper at $2/1M input and $10/1M output. Claude Opus 5 costs $5/1M input and $25/1M output.
GPT-5.6 Sol has the larger context window at 1.05M tokens vs Claude Opus 5's 1M. For large document analysis, GPT-5.6 Sol is the stronger pick.
Claude Opus 5 is better for coding with a score of 100 vs GPT-5.6 Sol's 97 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Both Claude Opus 5 and GPT-5.6 Sol have similar speed profiles — rated deliberate. Neither will be the bottleneck if latency is your deciding factor.
Still short of Claude Fable 5's absolute frontier ceiling on the hardest long-running agent tasks. Fast mode (research preview) doubles pricing to $10/$50, erasing the cost advantage over Fable 5. Avoid it if you need fast interactive latency (Sonnet 5 is quicker and one-fifth the price) or absolute frontier ceiling (Fable 5). That is the main case for looking at GPT-5.6 Sol instead.
Trails Claude Opus 5 badly on repository-level engineering (SWE-bench Pro 64.6% vs 79.2%). Long-context surcharge ($10/$45 above 272K) and 2–3x ultra-mode costs stack up fast. Avoid it if repo-level coding is the main job — Opus 5 leads SWE-bench Pro by ~15 points — or you're cost-sensitive (Terra is 60% cheaper at 1–4 points off). Against Claude Opus 5 specifically, the gap shows up most on coding (100 vs 97).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 5 runs $100.00 (at $5/1M in and $25/1M out); GPT-5.6 Sol runs $40.00 (at $2/1M in and $10/1M out). That is a $60.00/month difference — GPT-5.6 Sol 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 Claude Opus 5 for complex agentic coding and enterprise agent workflows, with GPT-5.6 Sol handling frontier agentic coding and deep research. Routing high-volume, low-stakes calls to GPT-5.6 Sol at $2/1M and reserving Claude Opus 5 for the hard cases is usually the cheapest arrangement that does not cost you quality.