Gemini 3.8 Flash vs Claude Fable 5.1
Compare Gemini 3.8 Flash 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 3.8 Flash vs Claude Fable 5.1 Overview
Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.
Google / Gemini 3.8 Flash
proDescription
Google's most intelligent Flash-tier model, built on 3.7 Flash and tuned to work harder per task. Gemini 3.8 Flash pushes further into software engineering and agentic knowledge work, taking more reasoning steps and calling tools iteratively rather than answering in a single pass. It reads text, images, audio, video, and PDFs across a very large context, grounded in live search, and its knowledge is among the most recent in the catalog.
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
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Google / Gemini 3.8 Flash
proDiligent Agentic Coding
Google reports gains of over 3.7 Flash in software engineering and agent workflows. At higher effort, it takes extra reasoning steps and iteratively calls tools, navigating roadblocks rather than answering in a single pass.
Effort You Set
Three thinking levels, low, medium, and high, defaulting to medium, trading reasoning depth against cost and latency. Deep thinking is on by default, so lower the level for latency-sensitive work.
Room For Repositories
A very large context window, carried over from the Flash line. Load a full repository, a long document set, or hours of media in one request and work across it without chunking.
Knowledge Work At Scale
Google reports gains in long-horizon and enterprise knowledge work alongside coding. Suited to document-heavy workflows over large, mixed source material, with iterative tool use built in.
Search And Recent Knowledge
Its knowledge is among the most recent in the catalog, and it supports search grounding. Google notes coverage varies by domain, so live search still matters for the newest information.
Text Image Audio Video
Google's model card lists text, images, audio, video, and PDFs as input. Output is text. Among the broadest input ranges available, and unusual in handling both audio and video.
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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