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Home/Claude Opus 4.8 vs Gemini 3.1 Pro
Winner: Gemini 3.1 ProAnthropic vs Google

Claude Opus 4.8 vs Gemini 3.1 Pro

Claude Opus 4.8 wins on coding (100 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.

Last verified May 27, 2026/Model data modified May 27, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
GooglePremium
Input cost
$2.00/1M
Context
2M tokens
Speed
Balanced

Clear recommendation block

The safest Claude Opus 4.8 vs Gemini 3.1 Pro default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.

Best overall model

Gemini 3.1 Pro

View
Why this recommendation

Gemini 3.1 Pro is the strongest answer here for Claude Opus 4.8 vs Gemini 3.1 Pro — pick it when quality of output matters more than the $2.00/1M/1M input you pay for it.

GooglePremium
Best for
Research, deep document analysis, and long-context reasoning at competitive pricing
Price
$2.00/1M
Context
2M tokens
Best value model

GPT-5.6 Terra

View
Why this recommendation

GPT-5.6 Terra is the cheaper way in for Claude Opus 4.8 vs Gemini 3.1 Pro, at $2.00/1M/1M input against Gemini 3.1 Pro's $2.00/1M/1M.

OpenAIBalanced
Best for
High-volume production and enterprise workloads
Price
$2.00/1M
Context
1.1M tokens
Best for speed

Claude Opus 4.8

View
Why this recommendation

Claude Opus 4.8 is the fastest of these for Claude Opus 4.8 vs Gemini 3.1 Pro — worth it when latency is what the reader notices, not the last few points of reasoning depth.

AnthropicPremium
Best for
Hardest coding tasks, parallel agentic workflows, and high-fidelity vision
Price
$5.00/1M
Context
1M tokens

Why this page recommends it

Claude Opus 4.8 leads on coding with a score of 100 vs 80 for Gemini 3.1 Pro.

Gemini 3.1 Pro has the larger context window: 2M vs 1M for Claude Opus 4.8.

Gemini 3.1 Pro is cheaper at $2/1M input tokens vs $5/1M for Claude Opus 4.8.

Decision notes

Gemini 3.1 Pro is the safer default: it is built for research, deep document analysis, and long-context reasoning at competitive pricing, which covers most of what people bring to this comparison.

Claude Opus 4.8 earns its place when your work is mostly hardest coding tasks and parallel agentic workflows, even though it loses the overall count here.

Both models serve different primary workflows — Gemini 3.1 Pro for research and deep document analysis, Claude Opus 4.8 for hardest coding tasks and parallel agentic workflows — so running each where it has a clear edge often beats forcing one to do both.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the Claude Opus 4.8 vs Gemini 3.1 Pro answer changes when cost, speed, or long-document depth leads the decision.

#1Claude Opus 4.890 pts
#2Gemini 3.1 Pro86 pts
Quality first

Claude Opus 4.8

Anthropic / Premium / May 27, 2026

90

Best value premium coder — frontier-grade at half of Fable 5's price.

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

Cost
$5.00/1M
$25.00/1M out
Speed
Deliberate
2/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need the highest possible coding ceiling (Fable 5 / Mythos 5), low-latency responses, or a workflow locked to OpenAI tooling.

Recommended comparisons

Where the Claude Opus 4.8 vs Gemini 3.1 Pro recommendation shifts once you weigh price or latency differently.

AnthropicPremiumWinner: Gemini 3.1 Pro

Claude Opus 4.8

Best value premium coder — frontier-grade at half of Fable 5's price.

Best use case
Hardest coding tasks, parallel agentic workflows, and high-fidelity vision
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
CodingParallel subagentsAgentic
GooglePremiumOption 2

Gemini 3.1 Pro

Best for research and deep document analysis — 2M context at the best premium price.

Best use case
Research, deep document analysis, and long-context reasoning at competitive pricing
Input
$2.00/1M
Pricing
Premium
Speed
Balanced
Context
2M 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
Gemini 3.1 ProGoogle$2.00/1M$12.00/1M$442M tokensBalanced808299
Claude Opus 4.8Anthropic$5.00/1M$25.00/1M$1001M tokensDeliberate1009698

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 Claude Opus 4.8 vs Gemini 3.1 Pro, what it is genuinely good at, and where we would steer you away from it.

Gemini 3.1 Pro

Winner: Gemini 3.1 ProGoogle

Our pick for Claude Opus 4.8 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.

Input
$2.00/1M
Output
$12.00/1M
Context
2M tokens
Speed
Balanced

What people actually use it for

  • Analyzing entire contracts, codebases, or research corpora in a single 2M-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

  • 2M token context window — the largest of any frontier model
  • Leads ARC-AGI-2 reasoning benchmark at 77.1%
  • Best price-to-performance among premium models at $2/$12 per 1M tokens

Where it falls down

  • Slower than Flash for everyday lightweight tasks
  • Claude Sonnet 4.6 is better for writing quality

Skip it if

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

Our verdict

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.

Claude Opus 4.8

Anthropic

The fastest model in this shortlist for Claude Opus 4.8 vs Gemini 3.1 Pro. Pick it when turnaround is what your readers or users notice.

Anthropic's newest Opus flagship — 69.2% SWE-Bench Pro, 88.6% SWE-Bench Verified, 1890 Arena Elo (121 pts ahead of GPT-5.5), and native parallel subagents. Same $5/$25 price as Opus 4.7.

Input
$5.00/1M
Output
$25.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Running parallel subagent workflows that split, solve, and merge complex engineering tasks
  • Autonomous PR review and multi-file refactors where accuracy matters more than speed
  • Deep research synthesis across 1M-token corpora — patents, codebases, legal documents

Where it wins

  • 69.2% SWE-Bench Pro — new #1, up from Opus 4.7's 64.3%
  • 88.6% SWE-Bench Verified and 83.4% OSWorld computer use
  • Native parallel subagents: orchestrated multi-agent execution in a single call
  • 1890 Arena Elo, 121 points ahead of GPT-5.5

Where it falls down

  • Deliberate pace — not the right pick for latency-sensitive applications
  • Same price tier as Opus 4.7; not a budget option

Skip it if

You need the highest possible coding ceiling (Fable 5 / Mythos 5), low-latency responses, or a workflow locked to OpenAI tooling.

Our verdict

The best value at the premium tier now that Claude Fable 5 leads on raw capability. 69.2% SWE-Bench Pro, 1890 Elo, and built-in parallel subagents at $5/$25 — half the price of Fable 5. The smart default for serious coding when you don't need the absolute frontier.

Full pricing, benchmark table and release notes on the Claude Opus 4.8 page.

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Anthropic
Claude Opus 4.8Best value premium coder — frontier-grade at half of Fable 5's price.Read guide
Google
Gemini 3.1 ProBest for research and deep document analysis — 2M context at the best premium…Read guide
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Alternatives
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Quick links

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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

Is Claude Opus 4.8 better than Gemini 3.1 Pro?

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 4.8 is the better pick when your work is mostly hardest coding tasks and parallel agentic workflows. Neither is universally "better": Gemini 3.1 Pro is aimed at research and deep document analysis, Claude Opus 4.8 at hardest coding tasks and parallel agentic workflows.

Which is cheaper — Claude Opus 4.8 or Gemini 3.1 Pro?

Gemini 3.1 Pro is cheaper at $2/1M input and $12/1M output. Claude Opus 4.8 costs $5/1M input and $25/1M output.

Which has a larger context window — Claude Opus 4.8 or Gemini 3.1 Pro?

Gemini 3.1 Pro has the larger context window at 2M tokens vs Claude Opus 4.8's 1M. For large document analysis, Gemini 3.1 Pro is the stronger pick.

Is Claude Opus 4.8 or Gemini 3.1 Pro better for coding?

Claude Opus 4.8 is better for coding with a score of 100 vs Gemini 3.1 Pro's 80 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.

Which is faster — Claude Opus 4.8 or Gemini 3.1 Pro?

Gemini 3.1 Pro is faster with a balanced speed rating (score: 3) vs Claude Opus 4.8's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Opus 4.8 latency penalty is usually invisible.

What are the downsides of Gemini 3.1 Pro?

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 4.8 instead.

What are the downsides of Claude Opus 4.8?

Deliberate pace — not the right pick for latency-sensitive applications. Same price tier as Opus 4.7; not a budget option. Avoid it if you need the highest possible coding ceiling (Fable 5 / Mythos 5), low-latency responses, or a workflow locked to OpenAI tooling. Against Gemini 3.1 Pro specifically, the gap shows up most on coding (80 vs 100).

What does a month of real work cost on Claude Opus 4.8 vs Gemini 3.1 Pro?

Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 4.8 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.

Can I use Claude Opus 4.8 and Gemini 3.1 Pro together?

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 4.8 handling hardest coding tasks and parallel agentic workflows. Since Gemini 3.1 Pro is both the stronger and the cheaper option here, a split mainly makes sense if Claude Opus 4.8 covers a capability you specifically need.