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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. Ministral 3 14B 2512Mistral AIRemove
  2. Hy4 previewTencentRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. Gemini 3.8 FlashGoogleRemove

4 is the maximum. Remove one to add another.

ministral-14b-2512 vs hy4-preview vs glm-5.3-flash vs gemini-3.8-flash
AttributeMinistral 3 14B 2512ministral-14b-2512Hy4 previewhy4-previewGLM 5.3 Flashglm-5.3-flashGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.20 / 1M$0.834 / 1M$0.075 / 1M$0.75 / 1M
Output$0.20 / 1M$2.50 / 1M$0.25 / 1M$3.75 / 1M
Cache Write (5m)$0.20 / 1M$0.834 / 1M$0.075 / 1M$0.75 / 1M
Cache Write (1h)$0.20 / 1M$0.834 / 1M$0.075 / 1M$0.75 / 1M
Cache Read$0.20 / 1M$0.834 / 1M$0.075 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderMistral AITencentZ.AIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryMinistral 3 14B is the largest model in the Ministral 3 lineup, delivering near–frontier performance similar to the larger Mistral Small 3.2 24B. It's a powerful yet efficient language model that also includes vision capabilities.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.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.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.