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. Mistral Embed 2312Mistral AIRemove
  2. Hy4 previewTencentRemove
  3. GPT-6 Astra ProOpenAIRemove
mistral-embed-2312 vs hy4-preview vs gpt-6-astra-pro
AttributeMistral Embed 2312mistral-embed-2312Hy4 previewhy4-previewGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$0.125 / 1M$0.834 / 1M$10.00 / 1M
Output$0 / 1M$2.50 / 1M$50.00 / 1M
Cache Write (5m)$0.125 / 1M$0.834 / 1M$10.00 / 1M
Cache Write (1h)$0.125 / 1M$0.834 / 1M$10.00 / 1M
Cache Read$0.125 / 1M$0.834 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context8.2K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderMistral AITencentOpenAI
Categoryembeddingchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryMistral Embed is Mistral AI's text embedding model, built for semantic search and RAG workflows. It generates 1024-dimensional vectors that capture meaningful relationships between pieces of text.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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.