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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. Gemini Embedding 2GoogleRemove
  2. GLM 5.3Z.AIRemove
  3. Claude Fable 5.1AnthropicRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

gemini-embedding-2-preview vs glm-5.3 vs claude-fable-5.1 vs hy4-preview
AttributeGemini Embedding 2gemini-embedding-2-previewGLM 5.3glm-5.3Claude Fable 5.1claude-fable-5.1Hy4 previewhy4-preview
Pricing
Input$0.60 / 1M$1.40 / 1M$10.00 / 1M$0.834 / 1M
Output$2.40 / 1M$4.40 / 1M$50.00 / 1M$2.50 / 1M
Cache Write (5m)$0.60 / 1M$1.40 / 1M$12.50 / 1M$0.834 / 1M
Cache Write (1h)$0.60 / 1M$1.40 / 1M$20.00 / 1M$0.834 / 1M
Cache Read$0.60 / 1M$1.40 / 1M$1.00 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context8.2K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleZ.AIAnthropicTencent
Categoryembeddingchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini Embedding 2 is Google's advanced text embedding model designed for high-accuracy semantic representation across large-scale retrieval and understanding tasks. It converts text into dense vector embeddings optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. Built for production use, it offers strong multilingual support, improved semantic similarity accuracy, and efficient embedding generation, making it well suited for large knowledge indexing pipelines and enterprise-scale retrieval applications.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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.