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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. GPT-6 Astra ProOpenAIRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. GPT-6 AstraOpenAIRemove
  4. inklingThinkingMachinesRemove

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs gemini-3.7-flash vs gpt-6-astra vs inkling
AttributeGPT-6 Astra Progpt-6-astra-proGemini 3.7 Flashgemini-3.7-flashGPT-6 Astragpt-6-astrainklinginkling
Pricing
Input$10.00 / 1M$0.375 / 1M$10.00 / 1M$0 / 1M
Output$50.00 / 1M$1.88 / 1M$50.00 / 1M$0 / 1M
Cache Write (5m)$10.00 / 1M$0.375 / 1M$10.00 / 1M
Cache Write (1h)$10.00 / 1M$0.375 / 1M$10.00 / 1M
Cache Read$10.00 / 1M$0.375 / 1M$10.00 / 1M$0 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Cache Write$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIGoogleOpenAIThinkingMachines
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoFree
Released
Description
SummaryGPT-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.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 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.Inkling is a general-purpose multimodal autoregressive transformer model from Thinking Machines Lab, supporting text, image, and audio inputs with text output. It is designed for a wide range of applications, including reasoning, coding, multilingual understanding, and multimodal interaction. Optimized for agentic workflows, tool use, coding assistants, chatbots, retrieval-augmented generation (RAG), and instruction following, Inkling provides a versatile foundation for production AI systems requiring robust language and multimodal capabilities.