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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. Grok 4.6xAIRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. GPT-6 Astra ProOpenAIRemove
grok-4.6 vs gemini-3.7-flash vs gpt-6-astra-pro
AttributeGrok 4.6grok-4.6Gemini 3.7 Flashgemini-3.7-flashGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$2.00 / 1M$0.375 / 1M$10.00 / 1M
Output$6.00 / 1M$1.88 / 1M$50.00 / 1M
Cache Write (5m)$2.00 / 1M$0.375 / 1M$10.00 / 1M
Cache Write (1h)$2.00 / 1M$0.375 / 1M$10.00 / 1M
Cache Read$2.00 / 1M$0.375 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context500K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderxAIGoogleOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGrok 4.6 is SpaceXAI's smartest frontier model, delivering top-tier performance across coding, knowledge work, and STEM reasoning. It is designed for demanding technical and professional workloads that require strong problem solving, accurate instruction following, and reliable execution. Optimized for software engineering, scientific analysis, and complex knowledge tasks, Grok 4.6 is well suited for advanced coding, research, and agentic workflows where high capability and reasoning quality are critical.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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.