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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. GLM 5.3 FlashZ.AIRemove
  3. Gemma 3 27BGoogleRemove
qwen3.8-27b vs glm-5.3-flash vs gemma-3-27b-it
AttributeQwen3.8 27Bqwen3.8-27bGLM 5.3 Flashglm-5.3-flashGemma 3 27Bgemma-3-27b-it
Pricing
Input$0.45 / 1M$0.075 / 1M$0.30 / 1M
Output$3.20 / 1M$0.25 / 1M$0.50 / 1M
Cache Write (5m)$0.45 / 1M$0.075 / 1M$0.30 / 1M
Cache Write (1h)$0.45 / 1M$0.075 / 1M$0.30 / 1M
Cache Read$0.45 / 1M$0.075 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M131.1K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderAlibabaZ.AIGoogle
Categorychatchatchat
Charge typePay 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.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.—