GLM-4.7-Flash vs Claude Fable 5.1
Compare GLM-4.7-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
GLM-4.7-Flash vs Claude Fable 5.1 Overview
Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.
Z AI / GLM-4.7-Flash
proDescription
Z.ai’s lightweight model is an unusually capable one for its size. GLM-4.7-Flash activates only a small fraction of its parameters per token, making it fast and inexpensive to run. Z.ai claims open-source leadership in its size class on coding, with strong front-end and back-end work. Text only. Open weights are small enough to run on your own hardware.
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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Z AI / GLM-4.7-Flash
proCoding Above Its Class
Z.ai says it achieves open-source state of the art among models of comparable size, with superior front-end and back-end development. The GLM-4.7 line is tuned for UI quality and cleaner layouts.
Reasoning Per Turn
Round-level reasoning lets you disable thinking on simple turns to cut latency and enable it on complex ones for accuracy. Reasoning blocks persist across turns, which steadies long tasks.
Long-Form Text Processing
Z.ai names long-form text processing among its recommended uses. Handles extended documents and sustained conversations, though it is not built for the whole-repository work larger models take on.
Writing And Translation
Z.ai recommends it beyond coding for writing, translation, and character interaction. That last one is unusual for a vendor to name, and it points to strength in holding a consistent voice.
Analysis Without Search
Reads and analyses whatever you supply. Multi-turn tool calling is supported, so tools can be connected, but there is no native web search and current information has to come from you.
Text Only Input
Reads and writes text. No image, audio, or video input. Screenshots, diagrams, mockups, and scanned pages are outside the scope of this model.
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.
Why Aymo
Why chat with GLM-4.7-Flash and Claude Fable 5.1 on Aymo AI?
Aymo gives you more than access to GLM-4.7-Flash and Claude Fable 5.1—it provides a complete multi-model AI workspace designed for productivity.
Compare Responses
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