Claude Fable 5 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 For most workflows, Claude Fable 5 is the stronger default — superseded by fable 5.1 — still 80.3% swe-bench pro, but 5.1 is better and cheaper to run.
The safest Claude Fable 5 vs Gemini 3.1 Pro default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Fable 5 is the strongest answer here for Claude Fable 5 vs Gemini 3.1 Pro — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
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.
Gemini 3.1 Pro is the fastest of these for Claude Fable 5 vs Gemini 3.1 Pro — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Fable 5 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.
Gemini 3.1 Pro is cheaper at $2/1M input tokens vs $10/1M for Claude Fable 5.
Go with Claude Fable 5 if you want one model to handle coding and research — it targets the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning.
Gemini 3.1 Pro earns its place when your work is mostly research and deep document analysis, even though it loses the overall count here.
Gemini 3.1 Pro is the more cost-efficient option at $2/1M input — Claude Fable 5 costs 5x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the Claude Fable 5 vs Gemini 3.1 Pro answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / Sep 3, 2026
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
Where the Claude Fable 5 vs Gemini 3.1 Pro recommendation shifts once you weigh price or latency differently.
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
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 |
|---|---|---|---|---|---|---|---|---|
| Claude Fable 5Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 98 | 100 |
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 2M tokens | Balanced | 80 | 82 | 99 |
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 Fable 5 vs Gemini 3.1 Pro, what it is genuinely good at, and where we would steer you away from it.
Our pick for Claude Fable 5 vs Gemini 3.1 Pro. It scores 100/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
The strongest coding and reasoning model you can actually use today. 80.3% SWE-Bench Pro is an 11-point leap over Opus 4.8 — the biggest single-release jump of 2026. It costs 2× Opus 4.8, so use it for the hardest agentic and engineering work and keep Opus 4.8 or Sonnet for everyday volume.
Full pricing, benchmark table and release notes on the Claude Fable 5 page.
The value option for Claude Fable 5 vs Gemini 3.1 Pro: about 77% less per token than Claude Fable 5, at 80/100 on coding. Worth starting here and moving up only if the output disappoints.
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.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude Fable 5 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 is aimed at the hardest coding tasks and autonomous multi-step agents, Gemini 3.1 Pro at research and deep document analysis.
Gemini 3.1 Pro is cheaper at $2/1M input and $12/1M output. Claude Fable 5 costs $10/1M input and $50/1M output.
Gemini 3.1 Pro has the larger context window at 2M tokens vs Claude Fable 5's 1M. For large document analysis, Gemini 3.1 Pro is the stronger pick.
Claude Fable 5 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.
Gemini 3.1 Pro is faster with a balanced speed rating (score: 3) vs Claude Fable 5's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Fable 5 latency penalty is usually invisible.
Priced at $10/$50 per 1M tokens — double Opus 4.8 ($5/$25). Deliberate pace; not for latency-sensitive interactive apps. Standard-use safeguards block some high-risk security workloads (use Mythos 5 with partner access). Avoid it if you are starting new work — Claude Fable 5.1 supersedes it at the same base price with 75% cheaper cache reads. Also skip it if you are latency- or cost-sensitive. That is the main case for looking at Gemini 3.1 Pro instead.
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 specifically, the gap shows up most on coding (100 vs 80).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Fable 5 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.
Yes, and for most teams that beats picking one. A common split is Claude Fable 5 for the hardest coding tasks and autonomous multi-step agents, 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 for the hard cases is usually the cheapest arrangement that does not cost you quality.