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Home/Gemini 3.1 Pro vs Claude Sonnet 4.6
Best for coding and writingGoogle vs Anthropic

Gemini 3.1 Pro vs Claude Sonnet 4.6

Gemini 3.1 Pro wins on research depth and price ($2 vs $3/1M input). Claude Sonnet 4.6 wins on coding (97 vs 80) and writing quality (98 vs 82). Both read about a million tokens. Claude Sonnet 4.6 has since been replaced — by Sonnet 5 in July and Sonnet 5.5 in September 2026 — so for a new decision, compare Gemini 3.1 Pro with Claude Sonnet 5.5.

Last verified Oct 11, 2026/Model data modified Oct 11, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$3.00/1M
Context
1M tokens
Speed
Balanced

Clear recommendation block

The safest Gemini 3.1 Pro vs Claude Sonnet 4.6 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.

Best overall model

Claude Sonnet 4.6

View
Why this recommendation

Claude Sonnet 4.6 is the strongest answer here for Gemini 3.1 Pro vs Claude Sonnet 4.6 — pick it when quality of output matters more than the $3.00/1M/1M input you pay for it.

AnthropicPremium
Best for
Daily coding, writing, and long-document work at a strong price-to-quality ratio
Price
$3.00/1M
Context
1M tokens
Best value model

Gemini 3.1 Pro

View
Why this recommendation

Gemini 3.1 Pro handles the same job for about 22% less per token. Start here and only move up if the output is not good enough.

GooglePremium
Best for
Research, deep document analysis, and long-context reasoning at competitive pricing
Price
$2.00/1M
Context
1M tokens
Best for speed

Claude Sonnet 4.6

View
Why this recommendation

Claude Sonnet 4.6 is the fastest of these for Gemini 3.1 Pro vs Claude Sonnet 4.6 — worth it when latency is what the reader notices, not the last few points of reasoning depth.

AnthropicPremium
Best for
Daily coding, writing, and long-document work at a strong price-to-quality ratio
Price
$3.00/1M
Context
1M tokens

Why this page recommends it

Claude Sonnet 4.6 leads on coding (79.6% SWE-bench vs Gemini's 80 score) and writing quality.

Both have a 1M-token context window; Gemini 3.1 Pro leads our research measure.

Gemini 3.1 Pro is cheaper at $2/1M input vs Claude Sonnet 4.6's $3/1M.

Decision notes

Choose Claude Sonnet 4.6 if coding, writing or day-to-day developer work is your primary use — or its successor, Claude Sonnet 5.5.

Choose Gemini 3.1 Pro for research, synthesis and work that already lives in Google tools.

Using both is a common pattern: Claude for creating, Gemini for analysing.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the Gemini 3.1 Pro vs Claude Sonnet 4.6 answer changes when cost, speed, or long-document depth leads the decision.

#1Claude Sonnet 4.687 pts
#2Gemini 3.1 Pro84 pts
Quality first

Claude Sonnet 4.6

Anthropic / Premium / Mar 24, 2026

87

Earlier Sonnet — replaced by Sonnet 5 and then Sonnet 5.5.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$3.00/1M
$15.00/1M out
Speed
Balanced
3/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You specifically need desktop-control capabilities (GPT-5.5/GPT-5.4) or the absolute highest coding ceiling (Opus 4.7).

Recommended comparisons

Where the Gemini 3.1 Pro vs Claude Sonnet 4.6 recommendation shifts once you weigh price or latency differently.

AnthropicPremiumBest for coding and writing

Claude Sonnet 4.6

Earlier Sonnet — replaced by Sonnet 5 and then Sonnet 5.5.

Best use case
Daily coding, writing, and long-document work at a strong price-to-quality ratio
Input
$3.00/1M
Pricing
Premium
Speed
Balanced
Context
1M tokens
CodingWriting leaderCursor default
GooglePremiumOption 2

Gemini 3.1 Pro

Google's Pro model — 1M context and native multimodal input at $2/$12.

Best use case
Research, deep document analysis, and long-context reasoning at competitive pricing
Input
$2.00/1M
Pricing
Premium
Speed
Balanced
Context
1M tokens
Research leader2M contextBest value premium

Side-by-side specs

List prices and published scores — the numbers this page's pick is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Sonnet 4.6Anthropic$3.00/1M$15.00/1M$601M tokensBalanced979493
Gemini 3.1 ProGoogle$2.00/1M$12.00/1M$441M tokensBalanced808294

Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.

The case for each model

Why each one is on the shortlist for Gemini 3.1 Pro vs Claude Sonnet 4.6, what it is genuinely good at, and where we would steer you away from it.

Claude Sonnet 4.6

Best for coding and writingAnthropic

The default answer for Gemini 3.1 Pro vs Claude Sonnet 4.6 — 97/100 on the coding axis, and the model we would start with unless the price below rules it out.

The default model powering Cursor and Windsurf. 79.6% SWE-bench, 1M context window, and best-in-tier writing quality — all at $3/1M input.

Input
$3.00/1M
Output
$15.00/1M
Context
1M tokens
Speed
Balanced

What people actually use it for

  • Daily coding in Cursor — debugging, refactoring, and feature implementation
  • Drafting polished client reports, strategy memos, and long-form editorial content
  • Answering research questions with up to 1M tokens of document context

Where it wins

  • Strong coding quality with 1M context at $3/1M input
  • Default model in Cursor and Windsurf, the two most popular AI coding editors
  • Best writing quality in its price tier — tone, long-form clarity, editorial polish

Where it falls down

  • Replaced by Claude Sonnet 5 and then Sonnet 5.5, which is stronger and cheaper
  • GPT-5.5 or GPT-5.4 are better picks when OpenAI computer-use workflows are the priority

Skip it if

You specifically need desktop-control capabilities (GPT-5.5/GPT-5.4) or the absolute highest coding ceiling (Opus 4.7).

Our verdict

The best all-around model for most developers and writers. Strong SWE-bench, excellent writing, 1M context — all at $3/1M input. Hard to beat as a daily driver.

Full pricing, benchmark table and release notes on the Claude Sonnet 4.6 page.

Gemini 3.1 Pro

Google

Where most budgets should land for Gemini 3.1 Pro vs Claude Sonnet 4.6 — about 22% less per token than Claude Sonnet 4.6, and still 80/100 on the coding axis.

Google's Pro-tier Gemini 3 model, released in preview on February 19, 2026, with a 1M-token context window, Deep Think reasoning and $2/$12 pricing.

Input
$2.00/1M
Output
$12.00/1M
Context
1M tokens
Speed
Balanced

What people actually use it for

  • Analyzing long contracts, codebases, or research papers in a single 1M-token prompt
  • Due diligence synthesis across large sets of financial documents or legal agreements
  • Multi-step reasoning across dense technical specifications with Deep Think mode

Where it wins

  • 1M-token context window with native image, audio, video and PDF input
  • Scored 77.1% on ARC-AGI-2 at its February 2026 launch
  • $2/$12 per 1M tokens — cheaper output than most premium models

Where it falls down

  • Slower than Flash for everyday lightweight tasks
  • Claude Sonnet 5.5 is better for writing quality, at a lower $2/$10

Skip it if

Your primary use case is writing quality or agentic coding — Claude wins both.

Our verdict

A capable research model and still Google's current Pro tier, but no longer the long-context leader: its 1M-token window matches Claude Opus 5.5 and is slightly below the GPT-6 family's 1.05M. Choose it for Google Workspace integration and multimodal input; for most research, Claude Opus 5.5 or GPT-6.1 Sol are stronger at a similar price.

Full pricing, benchmark table and release notes on the Gemini 3.1 Pro page.

Explore related decisions

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Quick links

Browse all modelsCompare pricingView Claude Sonnet 4.6View Gemini 3.1 Pro

How we evaluate AI models

UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.

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FAQ

Which is better for coding — Gemini 3.1 Pro or Claude Sonnet 4.6?

Claude Sonnet 4.6 is significantly better for coding: 97 on our coding measure and 79.6% on SWE-bench, against Gemini 3.1 Pro's 80.

Which is better for research?

Gemini 3.1 Pro scores higher on our research measure and scored 77.1% on ARC-AGI-2 at launch. Both models read about a million tokens.

Which is cheaper?

Gemini 3.1 Pro at $2/1M input and $12/1M output, against Claude Sonnet 4.6's $3/1M input and $15/1M output.

Which has a larger context window?

They are equal at about 1M tokens. Earlier versions of this page said Gemini 3.1 Pro had 2M; Google's documentation lists 1M.

Can I use both models in my workflow?

Yes — a common setup is Claude for coding, writing and standard prompting, with research synthesis routed to Gemini on price and Google integration.