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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. Grok 4 FastxAIRemove
  2. GPT-6 AstraOpenAIRemove
  3. GLM 5.3Z.AIRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

grok-4-fast vs gpt-6-astra vs glm-5.3 vs gemini-3.7-flash
AttributeGrok 4 Fastgrok-4-fastGPT-6 Astragpt-6-astraGLM 5.3glm-5.3Gemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.07 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Output$0.175 / 1M$50.00 / 1M$4.40 / 1M$1.88 / 1M
Cache Write (5m)$0.07 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Cache Write (1h)$0.07 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Cache Read$0.07 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context2M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderxAIOpenAIZ.AIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGrok 4 Fast is xAI's cost-efficient multimodal model with a massive 2M-token context window. It’s available in both reasoning and non-reasoning modes, allowing developers to toggle deeper thinking when needed. Designed for scalable performance, it balances speed, capability, and price — with reasoning controllable via the reasoning_enabled API parameter.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.GLM-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.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.