Claude Opus 4.6 wins on coding (99 vs 80) and writing quality. Gemini 3.1 Pro wins on price ($2 vs $5/1M input) and context window (2M vs 1M). For most workflows, Gemini 3.1 Pro is the stronger default — best for research and deep document analysis — 2m context at the best premium price.
The safest Claude Opus 4.6 vs Gemini 3.1 Pro default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Gemini 3.1 Pro is the strongest answer here for Claude Opus 4.6 vs Gemini 3.1 Pro — pick it when quality of output matters more than the $2.00/1M/1M input you pay for it.
GPT-5.6 Terra is the cheaper way in for Claude Opus 4.6 vs Gemini 3.1 Pro, at $2.00/1M/1M input against Gemini 3.1 Pro's $2.00/1M/1M.
Claude Opus 4.6 is the fastest of these for Claude Opus 4.6 vs Gemini 3.1 Pro — 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 80 for Gemini 3.1 Pro.
Gemini 3.1 Pro has the larger context window: 2M vs 1M for Claude Opus 4.6.
Gemini 3.1 Pro is cheaper at $2/1M input tokens vs $5/1M for Claude Opus 4.6.
Go with Gemini 3.1 Pro if you want one model to handle research and long context — it targets research, deep document analysis, and long-context reasoning at competitive pricing.
Choose Claude Opus 4.6 when your work is mostly agentic coding and complex multi-step reasoning — that is the workload it was tuned for.
Both models serve different primary workflows — Gemini 3.1 Pro for research and deep document analysis, 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 Claude Opus 4.6 vs Gemini 3.1 Pro answer changes when cost, speed, or long-document depth leads the decision.
Google / Premium / Sep 2, 2026
Best for research and deep document analysis — 2M context at the best premium price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Your primary use case is writing quality or agentic coding — Claude wins both.
Where the Claude Opus 4.6 vs Gemini 3.1 Pro recommendation shifts once you weigh price or latency differently.
Previous Opus flagship, now superseded by Claude Opus 4.7.
Best for research and deep document analysis — 2M context at the best premium price.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 2M tokens | Balanced | 80 | 82 | 99 |
| 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 Claude Opus 4.6 vs Gemini 3.1 Pro, what it is genuinely good at, and where we would steer you away from it.
Our pick for Claude Opus 4.6 vs Gemini 3.1 Pro. It scores 99/100 on the research axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Google's flagship with the largest context window of any frontier model at 2M tokens, Deep Think reasoning, and the best price-to-performance among premium models.
Your primary use case is writing quality or agentic coding — Claude wins both.
The best research and long-context model available. Handles entire codebases, legal documents, and large datasets in a single pass — at a lower price than GPT-5.4 or Claude Sonnet 4.6.
Full pricing, benchmark table and release notes on the Gemini 3.1 Pro page.
The fastest model in this shortlist for Claude Opus 4.6 vs Gemini 3.1 Pro. Pick it when turnaround is what your readers or users notice.
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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Gemini 3.1 Pro wins on more of the categories we score — research, long context, 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": Gemini 3.1 Pro is aimed at research and deep document analysis, Claude Opus 4.6 at agentic coding and complex multi-step reasoning.
Gemini 3.1 Pro is cheaper at $2/1M input and $12/1M output. Claude Opus 4.6 costs $5/1M input and $25/1M output.
Gemini 3.1 Pro has the larger context window at 2M tokens vs Claude Opus 4.6's 1M. For large document analysis, Gemini 3.1 Pro is the stronger pick.
Claude Opus 4.6 is better for coding with a score of 99 vs Gemini 3.1 Pro's 80 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Gemini 3.1 Pro 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.
Slower than Flash for everyday lightweight tasks. Claude Sonnet 4.6 is better for writing quality. Avoid it if your primary use case is writing quality or agentic coding — Claude wins both. 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 Gemini 3.1 Pro specifically, the gap shows up most on coding (80 vs 99).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 4.6 runs $100.00 (at $5/1M in and $25/1M out); Gemini 3.1 Pro runs $44.00 (at $2/1M in and $12/1M out). That is a $56.00/month difference — Gemini 3.1 Pro 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 Gemini 3.1 Pro for research and deep document analysis, with Claude Opus 4.6 handling agentic coding and complex multi-step reasoning. Since Gemini 3.1 Pro 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.