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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. Qwen3.8 27BAlibabaRemove
  2. Hy4 previewTencentRemove
  3. Mistral Large 2407Mistral AIRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs hy4-preview vs mistral-large-2407 vs glm-5.3-flash
AttributeQwen3.8 27Bqwen3.8-27bHy4 previewhy4-previewMistral Large 2407mistral-large-2407GLM 5.3 Flashglm-5.3-flash
Pricing
Input$0.45 / 1M$0.834 / 1M$6.00 / 1M$0.075 / 1M
Output$3.20 / 1M$2.50 / 1M$18.00 / 1M$0.25 / 1M
Cache Write (5m)$0.45 / 1M$0.834 / 1M$6.00 / 1M$0.075 / 1M
Cache Write (1h)$0.45 / 1M$0.834 / 1M$6.00 / 1M$0.075 / 1M
Cache Read$0.45 / 1M$0.834 / 1M$6.00 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M131.1K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderAlibabaTencentMistral AIZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryQwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted 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.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.