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. o3 Mini HighOpenAIRemove
  2. Qwen3.8 27BAlibabaRemove
  3. GLM 5.3Z.AIRemove
o3-mini-high vs qwen3.8-27b vs glm-5.3
Attributeo3 Mini Higho3-mini-highQwen3.8 27Bqwen3.8-27bGLM 5.3glm-5.3
Pricing
Input$1.10 / 1M$0.45 / 1M$1.40 / 1M
Output$4.40 / 1M$3.20 / 1M$4.40 / 1M
Cache Write (5m)$1.10 / 1M$0.45 / 1M$1.40 / 1M
Cache Write (1h)$1.10 / 1M$0.45 / 1M$1.40 / 1M
Cache Read$1.10 / 1M$0.45 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context200K262K1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesNo
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIAlibabaZ.AI
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 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.