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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. inklingThinkingMachinesRemove
  2. GPT-6 Astra ProOpenAIRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

inkling vs gpt-6-astra-pro vs gemini-3.8-flash vs hy4-preview
AttributeinklinginklingGPT-6 Astra Progpt-6-astra-proGemini 3.8 Flashgemini-3.8-flashHy4 previewhy4-preview
Pricing
Input$0 / 1M$10.00 / 1M$0.75 / 1M$0.834 / 1M
Output$0 / 1M$50.00 / 1M$3.75 / 1M$2.50 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$10.00 / 1M$0.75 / 1M$0.834 / 1M
Cache Write (5m)$10.00 / 1M$0.75 / 1M$0.834 / 1M
Cache Write (1h)$10.00 / 1M$0.75 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderThinkingMachinesOpenAIGoogleTencent
Categorychatchatchatchat
Charge typeFreePay As You GoPay As You GoPay As You Go
Released
Description
SummaryInkling 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.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.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.