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. DeepSeek V3.2 (Thinking)DeepSeekRemove
  2. GLM 5.3Z.AIRemove
  3. Claude Fable 5.1AnthropicRemove
deepseek-v3.2-thinking vs glm-5.3 vs claude-fable-5.1
AttributeDeepSeek V3.2 (Thinking)deepseek-v3.2-thinkingGLM 5.3glm-5.3Claude Fable 5.1claude-fable-5.1
Pricing
Input$0.19 / 1M$1.40 / 1M$10.00 / 1M
Output$0.275 / 1M$4.40 / 1M$50.00 / 1M
Cache Write (5m)$0.19 / 1M$1.40 / 1M$12.50 / 1M
Cache Write (1h)$0.19 / 1M$1.40 / 1M$20.00 / 1M
Cache Read$0.19 / 1M$1.40 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context163.8K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderDeepSeekZ.AIAnthropic
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryDeepSeek-V3.2 is an efficiency-focused large model that combines strong reasoning with reliable tool use. It introduces DeepSeek Sparse Attention to lower compute costs for long contexts while preserving quality, and uses large-scale reinforcement learning to reach GPT-5-class reasoning (including top IMO/IOI results). An agentic task-synthesis pipeline improves how it reasons with tools in interactive settings — and developers can toggle reasoning on or off as needed.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.Claude 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.