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Home/Claude Opus 4.7 vs Gemini 3.1 Flash
Winner: Claude Opus 4.7Anthropic vs Google

Claude Opus 4.7 vs Gemini 3.1 Flash

Claude Opus 4.7 wins on coding (96 vs 68) and writing quality. Gemini 3.1 Flash wins on price ($0.5 vs $5/1M input). For most workflows, Claude Opus 4.7 is the stronger default — previous opus flagship, now superseded by claude opus 4.8 at the same price.

Last verified Sep 2, 2026/Model data modified Sep 2, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$5.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The safest Claude Opus 4.7 vs Gemini 3.1 Flash default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.

Best overall model

Claude Opus 4.7

View
Why this recommendation

Claude Opus 4.7 is the strongest answer here for Claude Opus 4.7 vs Gemini 3.1 Flash — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.

AnthropicPremium
Best for
Highest-ceiling coding, agentic workflows, and deep research
Price
$5.00/1M
Context
1M tokens
Best value model

Gemini 3.1 Flash

View
Why this recommendation

Gemini 3.1 Flash handles the same job for about 88% less per token. Start here and only move up if the output is not good enough.

GoogleBudget
Best for
High-volume everyday AI usage where speed and cost both matter
Price
$0.50/1M
Context
1M tokens
Best for speed

Gemini 3.1 Flash

View
Why this recommendation

Gemini 3.1 Flash is the fastest of these for Claude Opus 4.7 vs Gemini 3.1 Flash — worth it when latency is what the reader notices, not the last few points of reasoning depth.

GoogleBudget
Best for
High-volume everyday AI usage where speed and cost both matter
Price
$0.50/1M
Context
1M tokens

Why this page recommends it

Claude Opus 4.7 leads on coding with a score of 96 vs 68 for Gemini 3.1 Flash.

Gemini 3.1 Flash is cheaper at $0.5/1M input tokens vs $5/1M for Claude Opus 4.7.

Claude Opus 4.7 is the stronger default for coding tasks.

Decision notes

Go with Claude Opus 4.7 if you want one model to handle coding and research — it targets highest-ceiling coding, agentic workflows, and deep research.

Switch to Gemini 3.1 Flash when your work is mostly high-volume everyday AI usage where speed and cost both matter; on that narrower brief it is the better tool.

Gemini 3.1 Flash is the more cost-efficient option at $0.5/1M input — Claude Opus 4.7 costs 10x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the Claude Opus 4.7 vs Gemini 3.1 Flash answer changes when cost, speed, or long-document depth leads the decision.

#1Claude Opus 4.787 pts
#2Gemini 3.1 Flash77 pts
Quality first

Claude Opus 4.7

Anthropic / Premium / May 27, 2026

87

Previous Opus flagship, now superseded by Claude Opus 4.8 at the same 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 cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.

Recommended comparisons

Where the Claude Opus 4.7 vs Gemini 3.1 Flash recommendation shifts once you weigh price or latency differently.

AnthropicPremiumWinner: Claude Opus 4.7

Claude Opus 4.7

Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.

Best use case
Highest-ceiling coding, agentic workflows, and deep research
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderSWE-bench Pro #1Agentic
GoogleBudgetOption 2

Gemini 3.1 Flash

Best cheap AI for broad day-to-day work — now with 1M context.

Best use case
High-volume everyday AI usage where speed and cost both matter
Input
$0.50/1M
Pricing
Budget
Speed
Very fast
Context
1M tokens
Best budgetFast1M context

Side-by-side specs

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

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Opus 4.7Anthropic$5.00/1M$25.00/1M$1001M tokensDeliberate969395
Gemini 3.1 FlashGoogle$0.50/1M$3.00/1M$111M tokensVery fast687576

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 4.7 vs Gemini 3.1 Flash, what it is genuinely good at, and where we would steer you away from it.

Claude Opus 4.7

Winner: Claude Opus 4.7Anthropic

Ranked first here for Claude Opus 4.7 vs Gemini 3.1 Flash: 96/100 on coding, with the widest margin of anything in this line-up.

Anthropic's previous Opus flagship, now superseded by Opus 4.8. Still the second-best coding model publicly available at the same $5/$25 price.

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

What people actually use it for

  • Delegating difficult multi-file engineering work that needs careful verification
  • Running premium coding agents and autonomous PR review workflows
  • Reading large codebases, research corpora, or design references with 1M context

Where it wins

  • 64.3% on SWE-Bench Pro, ahead of GPT-5.5 and GPT-5.4 in current public comparisons
  • 1M context window for large codebases and document-heavy workflows
  • Strong vision and agentic consistency improvements over Opus 4.6

Where it falls down

  • Premium pricing is expensive for high-volume workloads
  • GPT-5.5 has stronger OpenAI ecosystem fit and faster Codex availability for some teams

Skip it if

You need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.

Our verdict

Superseded by Opus 4.8 (May 27, 2026) which scores 69.2% SWE-Bench Pro vs 64.3% here — at the same price. For existing pinned integrations Opus 4.7 still works well, but new deployments should use Opus 4.8.

Full pricing, benchmark table and release notes on the Claude Opus 4.7 page.

Gemini 3.1 Flash

Google

The value option for Claude Opus 4.7 vs Gemini 3.1 Flash: about 88% less per token than Claude Opus 4.7, at 68/100 on coding. Worth starting here and moving up only if the output disappoints.

Fast, low-cost model with a 1M token context window — the best budget default for teams running high prompt volumes.

Input
$0.50/1M
Output
$3.00/1M
Context
1M tokens
Speed
Very fast

What people actually use it for

  • High-volume customer support automation across thousands of daily tickets
  • Fast content generation for marketing pipelines — drafts, rewrites, translations
  • Rapid document summarization and classification in processing pipelines

Where it wins

  • 1M token context window at $0.50/$3 per million tokens
  • 2.5× faster time-to-first-token than Gemini 2.5 Flash
  • Strong multimodal support across text, images, audio, and video

Where it falls down

  • Not as sharp as premium models on hard reasoning or complex coding
  • May need more validation on nuanced technical tasks

Skip it if

You need premium reasoning depth or the highest coding benchmark scores.

Our verdict

The best all-around budget model for most teams. Faster than its predecessor, cheaper, and with a 1M context window that outclasses every other budget option.

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

Explore related decisions

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Claude Opus 4.7 vs DeepSeek R1Claude Opus 4.7 vs DeepSeek R1 — see exactly which wins on SWE-bench coding…Read guide
Anthropic
Claude Opus 4.7Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.Read guide
Google
Gemini 3.1 FlashBest cheap AI for broad day-to-day work — now with 1M context.Read guide
Alternatives
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Alternatives
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Guide
Best AI for CodingClaude Opus 4.7 leads coding AI in 2026 with 64.3% on SWE-Bench Pro. Compare…Read guide

Quick links

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FAQ

Is Claude Opus 4.7 better than Gemini 3.1 Flash?

Claude Opus 4.7 wins on more of the categories we score — coding, research, long context — so it is the better default of the two. Gemini 3.1 Flash is the better pick when your work is mostly high-volume everyday AI usage where speed and cost both matter. Neither is universally "better": Claude Opus 4.7 is aimed at highest-ceiling coding and agentic workflows, Gemini 3.1 Flash at high-volume everyday AI usage where speed and cost both matter.

Which is cheaper — Claude Opus 4.7 or Gemini 3.1 Flash?

Gemini 3.1 Flash is cheaper at $0.5/1M input and $3/1M output. Claude Opus 4.7 costs $5/1M input and $25/1M output.

Which has a larger context window — Claude Opus 4.7 or Gemini 3.1 Flash?

Both Claude Opus 4.7 and Gemini 3.1 Flash have the same 1M context window.

Is Claude Opus 4.7 or Gemini 3.1 Flash better for coding?

Claude Opus 4.7 is better for coding with a score of 96 vs Gemini 3.1 Flash's 68 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.

Which is faster — Claude Opus 4.7 or Gemini 3.1 Flash?

Gemini 3.1 Flash is faster with a very fast speed rating (score: 5) vs Claude Opus 4.7's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Opus 4.7 latency penalty is usually invisible.

What are the downsides of Claude Opus 4.7?

Opus 4.8 launched at the same $5/$25 price with 69.2% SWE-Bench Pro and parallel subagents. No reason to prefer Opus 4.7 for new integrations — use Opus 4.8 instead. Avoid it if you are starting a new integration — Opus 4.8 is strictly better at the same price. That is the main case for looking at Gemini 3.1 Flash instead.

What are the downsides of Gemini 3.1 Flash?

Not as sharp as premium models on hard reasoning or complex coding. May need more validation on nuanced technical tasks. Avoid it if you need premium reasoning depth or the highest coding benchmark scores. Against Claude Opus 4.7 specifically, the gap shows up most on coding (96 vs 68).

What does a month of real work cost on Claude Opus 4.7 vs Gemini 3.1 Flash?

Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 4.7 runs $100.00 (at $5/1M in and $25/1M out); Gemini 3.1 Flash runs $11.00 (at $0.5/1M in and $3/1M out). That is a $89.00/month difference — Gemini 3.1 Flash 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 4.7 and Gemini 3.1 Flash together?

Yes, and for most teams that beats picking one. A common split is Claude Opus 4.7 for highest-ceiling coding and agentic workflows, with Gemini 3.1 Flash handling high-volume everyday AI usage where speed and cost both matter. Routing high-volume, low-stakes calls to Gemini 3.1 Flash at $0.5/1M and reserving Claude Opus 4.7 for the hard cases is usually the cheapest arrangement that does not cost you quality.