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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 Medium 3.5MistralRemove
  2. Hy4 previewTencentRemove
mistral-medium-3-5 vs hy4-preview
AttributeMistral Medium 3.5mistral-medium-3-5Hy4 previewhy4-preview
Pricing
Input$1.50 / 1M$0.834 / 1M
Output$7.50 / 1M$2.50 / 1M
Cache Write (5m)$1.50 / 1M$0.834 / 1M
Cache Write (1h)$1.50 / 1M$0.834 / 1M
Cache Read$1.50 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context262.1K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMistralTencent
Categorychatchat
Charge typePay As You GoPay As You Go
Released
Description
SummaryMistral Medium 3.5 is a 128B dense instruction-following model from Mistral AI, supporting text and image inputs with text output. It is designed for agentic workflows, coding, and complex multi-step reasoning, with strong reliability in multi-tool orchestration and long-horizon tasks. The model features a 256K token context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. With support for self-hosting on as few as four GPUs and availability under open weights, it is well suited for scalable, production-grade deployments.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.