Skip to content

Compare models

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

  1. Qwen PlusAlibabaRemove
  2. Claude Fable 5.1AnthropicRemove
  3. Qwen3.8 27BAlibabaRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

qwen-plus vs claude-fable-5.1 vs qwen3.8-27b vs glm-5.3-flash
AttributeQwen Plusqwen-plusClaude Fable 5.1claude-fable-5.1Qwen3.8 27Bqwen3.8-27bGLM 5.3 Flashglm-5.3-flash
Pricing
Input$0.40 / 1M$10.00 / 1M$0.45 / 1M$0.075 / 1M
Output$1.20 / 1M$50.00 / 1M$3.20 / 1M$0.25 / 1M
Cache Write (5m)$0.40 / 1M$12.50 / 1M$0.45 / 1M$0.075 / 1M
Cache Write (1h)$0.40 / 1M$20.00 / 1M$0.45 / 1M$0.075 / 1M
Cache Read$0.40 / 1M$1.00 / 1M$0.45 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context131.1K1M262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderAlibabaAnthropicAlibabaZ.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.