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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. GLM 5.3Z.AIRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. Qwen3.8 2.4T A95BAlibabaRemove
  4. Claude Fable 5.1AnthropicRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs gemini-3.8-flash vs qwen3.8-2.4t-a95b vs claude-fable-5.1
AttributeGLM 5.3glm-5.3Gemini 3.8 Flashgemini-3.8-flashQwen3.8 2.4T A95Bqwen3.8-2.4t-a95bClaude Fable 5.1claude-fable-5.1
Pricing
Input$1.40 / 1M$0.75 / 1M$1.80 / 1M$10.00 / 1M
Output$4.40 / 1M$3.75 / 1M$5.40 / 1M$50.00 / 1M
Cache Write (5m)$1.40 / 1M$0.75 / 1M$1.80 / 1M$12.50 / 1M
Cache Write (1h)$1.40 / 1M$0.75 / 1M$1.80 / 1M$20.00 / 1M
Cache Read$1.40 / 1M$0.75 / 1M$1.80 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIGoogleAlibabaAnthropic
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.Qwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights.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.