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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. DeepSeek V3.2 (Thinking)DeepSeekRemove
  2. Hy4 previewTencentRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

deepseek-v3.2-thinking vs hy4-preview vs glm-5.3-flash vs gpt-6-astra
AttributeDeepSeek V3.2 (Thinking)deepseek-v3.2-thinkingHy4 previewhy4-previewGLM 5.3 Flashglm-5.3-flashGPT-6 Astragpt-6-astra
Pricing
Input$0.19 / 1M$0.834 / 1M$0.075 / 1M$10.00 / 1M
Output$0.275 / 1M$2.50 / 1M$0.25 / 1M$50.00 / 1M
Cache Write (5m)$0.19 / 1M$0.834 / 1M$0.075 / 1M$10.00 / 1M
Cache Write (1h)$0.19 / 1M$0.834 / 1M$0.075 / 1M$10.00 / 1M
Cache Read$0.19 / 1M$0.834 / 1M$0.075 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context163.8K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderDeepSeekTencentZ.AIOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryDeepSeek-V3.2 is an efficiency-focused large model that combines strong reasoning with reliable tool use. It introduces DeepSeek Sparse Attention to lower compute costs for long contexts while preserving quality, and uses large-scale reinforcement learning to reach GPT-5-class reasoning (including top IMO/IOI results). An agentic task-synthesis pipeline improves how it reasons with tools in interactive settings — and developers can toggle reasoning on or off as needed.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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.