Gemini 3.1 Pro vs Claude Fable 5.1
Compare Gemini 3.1 Pro and Claude Fable 5.1 side-by-side. See comparisons of price, response speed, accuracy, and file support to choose the best model for your task.
Overview
Gemini 3.1 Pro vs Claude Fable 5.1 Overview
Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.
Google / Gemini 3.1 Pro
maxDescription
Google's most advanced reasoning model, and the widest-ranging on input. Gemini 3.1 Pro reads text, images, audio, video, PDFs, and entire code repositories inside a very large context window. Built for agentic work, advanced coding, and long-context analysis. It is still a preview release, and its output ceiling is lower than most frontier models, so very long generation needs splitting up.
Anthropic / Claude Fable 5.1
maxDescription
Anthropic's most capable generally available model, sitting above the Opus line. Fable 5.1 is built for long, unsupervised work: multi-day coding, agentic research, and tasks that run across dozens of tool calls. It reads text and images, maintains a very large context, and reasons before every answer at an adjustable depth. Its knowledge is the most recent of any Claude model. Anthropic positions Opus 5 as the starting point for most work, and Fable 5.1 for teams whose evaluations demand a higher ceiling.
About
About
Capabilities
Capabilities
Comparison
Why Use Gemini 3.1 Pro and Claude Fable 5.1?
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Google / Gemini 3.1 Pro
maxAdvanced Agentic Coding
Google names agentic work, advanced coding, and algorithmic development as core strengths. Handles multi-step tool use and cross-file reasoning, and can execute code as part of its answer.
Adjustable Thinking Depth
Thinking runs at low, medium, or high, so you set how hard the model works before it answers. Google recommends leaving temperature at its default to protect complex reasoning.
Room For Repositories
A very large context window. Google states it takes on whole code repositories, research corpora, and PDF sets in one pass, without chunking the input into separate requests.
A Lower Output Ceiling
Its single-response output ceiling is roughly half that of most frontier models. Fine for reports and documentation, but book-length or full-codebase generation needs breaking into parts.
Search Grounding Built In
Its knowledge is dated by current standards. Google's own guidance is to use the Search Grounding tool for anything more recent, which the model supports natively.
Reads Video And Audio
The broadest input range available. Text, images, audio, video, PDFs, and code, handled natively. Video and audio input are rare, and no other model here accepts both.
Anthropic / Claude Fable 5.1
maxLong-Running Coding
Anthropic's strongest model for multi-day coding sessions and codebase research. Built to sustain complex software engineering across many steps and tool calls without a human checking in at each one.
Adaptive Thinking Always On
Reasoning is always on, with adjustable effort rather than an on-off switch. Steer depth up for the hardest problems or down for lighter work, without restructuring the prompt each time.
Room For Whole Projects
A very large context window, among the largest available. Load an entire codebase, a long research corpus, or a large document set and work across all of it in a single session.
Document-Heavy Analysis
Built for document-heavy analysis and multi-step automation alongside coding. Suited to work that reads across large, mixed source material and produces structured, reviewable output.
Long-Horizon Agent Work
Its defining strength. Retains context, uses tools, evaluates results, and works on a task through many steps. Built for agents who run for a long time with little supervision.
Text And Image Input
Reads text and images in the same prompt, so you can send screenshots, diagrams, or scanned pages alongside your question. Output is text only. Audio and video are not accepted.
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See how Gemini 3.1 Pro and Claude Fable 5.1 performs alongside Claude, Gemini, Grok, and other leading AI models.
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