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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. GLM 4.7 FlashZ.AIRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. GPT-6 AstraOpenAIRemove
glm-4.7-flash vs gemini-3.8-flash vs gpt-6-astra
AttributeGLM 4.7 Flashglm-4.7-flashGemini 3.8 Flashgemini-3.8-flashGPT-6 Astragpt-6-astra
Pricing
Input$0.06 / 1M$0.75 / 1M$10.00 / 1M
Output$0.40 / 1M$3.75 / 1M$50.00 / 1M
Cache Write (5m)$0.06 / 1M$0.75 / 1M$10.00 / 1M
Cache Write (1h)$0.06 / 1M$0.75 / 1M$10.00 / 1M
Cache Read$0.06 / 1M$0.75 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context200K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderZ.AIGoogleOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-4.7-Flash is a state-of-the-art 30B-class model designed to strike a strong balance between performance and efficiency. It is specifically optimized for agentic coding scenarios, with enhanced capabilities in code generation, long-horizon task planning, and tool-based collaboration. Among open-source models of comparable size, GLM-4.7-Flash has achieved leading results on multiple public benchmark leaderboards, establishing itself as a competitive and practical choice for advanced developer and agent workflows.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.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.