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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Claude Fable 5.1AnthropicRemove
  2. Qwen2.5 32B InstructAlibabaRemove
  3. Qwen3.8 27BAlibabaRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

claude-fable-5.1 vs qwen2.5-32b-instruct vs qwen3.8-27b vs glm-5.3-flash
AttributeClaude Fable 5.1claude-fable-5.1Qwen2.5 32B Instructqwen2.5-32b-instructQwen3.8 27Bqwen3.8-27bGLM 5.3 Flashglm-5.3-flash
Pricing
Input$10.00 / 1M$0.79 / 1M$0.45 / 1M$0.075 / 1M
Output$50.00 / 1M$0.79 / 1M$3.20 / 1M$0.25 / 1M
Cache Write (5m)$12.50 / 1M$0.79 / 1M$0.45 / 1M$0.075 / 1M
Cache Write (1h)$20.00 / 1M$0.79 / 1M$0.45 / 1M$0.075 / 1M
Cache Read$1.00 / 1M$0.79 / 1M$0.45 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M128K262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderAnthropicAlibabaAlibabaZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryClaude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.