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

4 is the maximum. Remove one to add another.

gemini-3.7-flash vs glm-5.3-flash vs qwen3.8-27b vs gpt-6-astra
AttributeGemini 3.7 Flashgemini-3.7-flashGLM 5.3 Flashglm-5.3-flashQwen3.8 27Bqwen3.8-27bGPT-6 Astragpt-6-astra
Pricing
Input$0.375 / 1M$0.075 / 1M$0.45 / 1M$10.00 / 1M
Output$1.88 / 1M$0.25 / 1M$3.20 / 1M$50.00 / 1M
Cache Write (5m)$0.375 / 1M$0.075 / 1M$0.45 / 1M$10.00 / 1M
Cache Write (1h)$0.375 / 1M$0.075 / 1M$0.45 / 1M$10.00 / 1M
Cache Read$0.375 / 1M$0.075 / 1M$0.45 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M262K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderGoogleZ.AIAlibabaOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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.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.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.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.