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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. GPT-6 AstraOpenAIRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. GLM 4.6 (Thinking)Z.AIRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs gemini-3.8-flash vs glm-4.6-thinking vs hy4-preview
AttributeGPT-6 Astragpt-6-astraGemini 3.8 Flashgemini-3.8-flashGLM 4.6 (Thinking)glm-4.6-thinkingHy4 previewhy4-preview
Pricing
Input$10.00 / 1M$0.75 / 1M$0.40 / 1M$0.834 / 1M
Output$50.00 / 1M$3.75 / 1M$1.50 / 1M$2.50 / 1M
Cache Write (5m)$10.00 / 1M$0.75 / 1M$0.40 / 1M$0.834 / 1M
Cache Write (1h)$10.00 / 1M$0.75 / 1M$0.40 / 1M$0.834 / 1M
Cache Read$10.00 / 1M$0.75 / 1M$0.40 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M202.8K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIGoogleZ.AITencent
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.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.GLM-4.6 improves on GLM-4.5 with a larger 200K context window, stronger coding performance (including better real-world agent tools like Claude Code and Cline), and clearer gains in reasoning with built-in tool use. It delivers more capable agent behavior, integrates better into agent frameworks, and produces more natural, readable writing — especially in role-playing scenarios.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.