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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. GLM 4.6 (Thinking)Z.AIRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. Hy4 previewTencentRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

glm-4.6-thinking vs gemini-3.7-flash vs hy4-preview vs gpt-6-astra
AttributeGLM 4.6 (Thinking)glm-4.6-thinkingGemini 3.7 Flashgemini-3.7-flashHy4 previewhy4-previewGPT-6 Astragpt-6-astra
Pricing
Input$0.40 / 1M$0.375 / 1M$0.834 / 1M$10.00 / 1M
Output$1.50 / 1M$1.88 / 1M$2.50 / 1M$50.00 / 1M
Cache Write (5m)$0.40 / 1M$0.375 / 1M$0.834 / 1M$10.00 / 1M
Cache Write (1h)$0.40 / 1M$0.375 / 1M$0.834 / 1M$10.00 / 1M
Cache Read$0.40 / 1M$0.375 / 1M$0.834 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context202.8K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIGoogleTencentOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.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.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.