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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 5.3Z.AIRemove
  2. GPT-6 AstraOpenAIRemove
  3. Qwen3.8 27BAlibabaRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs gpt-6-astra vs qwen3.8-27b vs gemini-3.7-flash
AttributeGLM 5.3glm-5.3GPT-6 Astragpt-6-astraQwen3.8 27Bqwen3.8-27bGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$1.40 / 1M$10.00 / 1M$0.45 / 1M$0.375 / 1M
Output$4.40 / 1M$50.00 / 1M$3.20 / 1M$1.88 / 1M
Cache Write (5m)$1.40 / 1M$10.00 / 1M$0.45 / 1M$0.375 / 1M
Cache Write (1h)$1.40 / 1M$10.00 / 1M$0.45 / 1M$0.375 / 1M
Cache Read$1.40 / 1M$10.00 / 1M$0.45 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIOpenAIAlibabaGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.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.Qwen3.8 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.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.