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Home/Claude Fable 5.1 vs Gemini 3.1 Pro
Winner: Claude Fable 5.1Anthropic vs Google

Claude Fable 5.1 vs Gemini 3.1 Pro

Claude Fable 5.1 wins on coding (100 vs 80) and writing quality. Gemini 3.1 Pro wins on price ($2 vs $10/1M input) and context window (2M vs 1M). For most workflows, Claude Fable 5.1 is the stronger default — new frontier leader — better than fable 5 on every published benchmark, and cheaper to run.

Last verified Sep 3, 2026/Model data modified Sep 3, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$10.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The safest Claude Fable 5.1 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

Claude Fable 5.1

View
Why this recommendation

Claude Fable 5.1 is the strongest answer here for Claude Fable 5.1 vs Gemini 3.1 Pro — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.

AnthropicPremium
Best for
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Price
$10.00/1M
Context
1M tokens
Best value model

Gemini 3.1 Pro

View
Why this recommendation

Gemini 3.1 Pro handles the same job for about 77% 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
2M tokens
Best for speed

Gemini 3.1 Pro

View
Why this recommendation

Gemini 3.1 Pro is the fastest of these for Claude Fable 5.1 vs Gemini 3.1 Pro — worth it when latency is what the reader notices, not the last few points of reasoning depth.

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

Why this page recommends it

Claude Fable 5.1 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 Fable 5.1.

Gemini 3.1 Pro is cheaper at $2/1M input tokens vs $10/1M for Claude Fable 5.1.

Decision notes

Go with Claude Fable 5.1 if you want one model to handle coding and research — it targets frontier agentic coding, long-horizon autonomous work, and agentic scientific research.

Switch to Gemini 3.1 Pro when your work is mostly research and deep document analysis; on that narrower brief it is the better tool.

Gemini 3.1 Pro is the more cost-efficient option at $2/1M input — Claude Fable 5.1 costs 5x 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 Fable 5.1 vs Gemini 3.1 Pro answer changes when cost, speed, or long-document depth leads the decision.

#1Claude Fable 5.191 pts
#2Gemini 3.1 Pro86 pts
Quality first

Claude Fable 5.1

Anthropic / Premium / Sep 3, 2026

91

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

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

Cost
$10.00/1M
$50.00/1M out
Speed
Deliberate
2/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.

Recommended comparisons

Where the Claude Fable 5.1 vs Gemini 3.1 Pro recommendation shifts once you weigh price or latency differently.

AnthropicPremiumWinner: Claude Fable 5.1

Claude Fable 5.1

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

Best use case
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderFrontierAgentic
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
Claude Fable 5.1Anthropic$10.00/1M$50.00/1M$2001M tokensDeliberate10098100
Gemini 3.1 ProGoogle$2.00/1M$12.00/1M$442M tokensBalanced808299

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 Fable 5.1 vs Gemini 3.1 Pro, what it is genuinely good at, and where we would steer you away from it.

Claude Fable 5.1

Winner: Claude Fable 5.1Anthropic

The default answer for Claude Fable 5.1 vs Gemini 3.1 Pro — 100/100 on the coding axis, and the model we would start with unless the price below rules it out.

Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.

Input
$10.00/1M
Output
$50.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Agentic scientific research — 52.6% on Terminal-Bench-Science 0.1, more than double Fable 5's 24.7%
  • Long-running autonomous coding agents that plan, run, and debug across a whole repository
  • Cache-heavy agent loops where the 75% cache-read cut ($1.00 → $0.25 per 1M) is the real saving

Where it wins

  • 52.6% Terminal-Bench-Science 0.1 — 2.1x Fable 5 (24.7%), well clear of Opus 5 (29.0%) and GPT-5.6 Sol (22.4%)
  • 55.8% Terminal-Bench 4.0 agentic coding, ahead of Opus 5 (52.3%) and Fable 5 (42.0%)
  • Cache reads cut 75% to $0.25/1M — ~25% cheaper for typical use, ~45% for heavily agentic work
  • Independent Vals AI evaluation ranks it #1 of 51 on the Vals Index, #1 on LiveCodeBench (90.5%) and MMLU Pro (92.4%)
  • 1M-token context and 128K max output at standard rates, with adaptive thinking always enabled

Where it falls down

  • Base rates are still $10/$50 per 1M — double Claude Opus 5 for anything that is not cache-heavy
  • Anthropic published no SWE-bench Verified or SWE-bench Pro figure for 5.1 at launch
  • On Claude Pro it only runs on pay-as-you-go credits; Max includes it up to 50% of weekly limits
  • Deliberate, high-latency profile — the wrong choice for interactive, latency-bound apps

Skip it if

You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.

Our verdict

The new frontier leader, and the rare upgrade that costs less than the model it replaces. Base $10/$50 pricing did not move, but a 75% cut to cache reads makes typical workloads ~25% cheaper than Fable 5 and heavily agentic ones ~45% cheaper — while more than doubling Fable 5 on agentic science and beating Opus 5 on agentic coding. If you were already on Fable 5, switching is a straight win. If you were on Opus 5 for the price, it still costs 2x on uncached tokens.

Full pricing, benchmark table and release notes on the Claude Fable 5.1 page.

Gemini 3.1 Pro

Google

Where most budgets should land for Claude Fable 5.1 vs Gemini 3.1 Pro — about 77% less per token than Claude Fable 5.1, and still 80/100 on the coding axis.

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.

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FAQ

Is Claude Fable 5.1 better than Gemini 3.1 Pro?

Claude Fable 5.1 wins on more of the categories we score — coding, research, long context — so it is the better default of the two. Gemini 3.1 Pro is the better pick when your work is mostly research and deep document analysis. Neither is universally "better": Claude Fable 5.1 is aimed at frontier agentic coding and long-horizon autonomous work, Gemini 3.1 Pro at research and deep document analysis.

Which is cheaper — Claude Fable 5.1 or Gemini 3.1 Pro?

Gemini 3.1 Pro is cheaper at $2/1M input and $12/1M output. Claude Fable 5.1 costs $10/1M input and $50/1M output.

Which has a larger context window — Claude Fable 5.1 or Gemini 3.1 Pro?

Gemini 3.1 Pro has the larger context window at 2M tokens vs Claude Fable 5.1's 1M. For large document analysis, Gemini 3.1 Pro is the stronger pick.

Is Claude Fable 5.1 or Gemini 3.1 Pro better for coding?

Claude Fable 5.1 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 Fable 5.1 or Gemini 3.1 Pro?

Gemini 3.1 Pro is faster with a balanced speed rating (score: 3) vs Claude Fable 5.1's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Fable 5.1 latency penalty is usually invisible.

What are the downsides of Claude Fable 5.1?

Base rates are still $10/$50 per 1M — double Claude Opus 5 for anything that is not cache-heavy. Anthropic published no SWE-bench Verified or SWE-bench Pro figure for 5.1 at launch. On Claude Pro it only runs on pay-as-you-go credits; Max includes it up to 50% of weekly limits. Avoid it if you need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding. That is the main case for looking at Gemini 3.1 Pro instead.

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. Against Claude Fable 5.1 specifically, the gap shows up most on coding (100 vs 80).

What does a month of real work cost on Claude Fable 5.1 vs Gemini 3.1 Pro?

Take a moderate workload of 10M input and 2M output tokens a month. Claude Fable 5.1 runs $200.00 (at $10/1M in and $50/1M out); Gemini 3.1 Pro runs $44.00 (at $2/1M in and $12/1M out). That is a $156.00/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 Fable 5.1 and Gemini 3.1 Pro together?

Yes, and for most teams that beats picking one. A common split is Claude Fable 5.1 for frontier agentic coding and long-horizon autonomous work, with Gemini 3.1 Pro handling research and deep document analysis. Routing high-volume, low-stakes calls to Gemini 3.1 Pro at $2/1M and reserving Claude Fable 5.1 for the hard cases is usually the cheapest arrangement that does not cost you quality.