Claude Fable 5 wins on coding (98 vs 80) and writing quality. Gemini 3.1 Pro wins on price ($2 vs $10/1M input). For most workflows, Claude Fable 5 is the stronger default — superseded by fable 5.1 — still 80.3% swe-bench pro, but 5.1 is better and cheaper to run.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 98 vs 80 for Gemini 3.1 Pro.
Gemini 3.1 Pro is cheaper at $2/1M input tokens vs $10/1M for Claude Fable 5.
Claude Fable 5 is the stronger default for coding tasks.
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 1, 2026
Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.
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.
Superseded by Fable 5.1 — still 80.3% SWE-Bench Pro, but 5.1 is better and cheaper to run.
Google's Pro model — 1M context and native multimodal input at $2/$12.
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 | 98 | 97 | 98 |
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 1M tokens | Balanced | 80 | 82 | 94 |
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 98/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
Anthropic's June 9, 2026 Mythos-class flagship. At launch it was the most capable coding model anyone could use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8 — and it has since been overtaken by Claude Fable 5.1 and Claude Opus 5.5. 1M context, 128K output, native parallel subagents.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
Superseded by Claude Fable 5.1 on September 1, 2026, which beats it on every benchmark Anthropic published and costs less to run thanks to a 75% cache-read cut. Fable 5 remains a frontier-class model — 80.3% SWE-Bench Pro, an 11-point leap over Opus 4.8 — and stays available at the same $10/$50, but there is no reason to start new work on it.
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 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.
Your primary use case is writing quality or agentic coding — Claude wins both.
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.
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.
Both Claude Fable 5 and Gemini 3.1 Pro have the same 1M context window.
Claude Fable 5 is better for coding with a score of 98 vs Gemini 3.1 Pro's 80 (out of 100). Claude Opus 5.5 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 5.5 is better for writing quality, at a lower $2/$10. 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 (98 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.