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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. inklingThinkingMachinesRemove
  2. Hy4 previewTencentRemove
  3. Gemini 3.8 FlashGoogleRemove
inkling vs hy4-preview vs gemini-3.8-flash
AttributeinklinginklingHy4 previewhy4-previewGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0 / 1M$0.834 / 1M$0.75 / 1M
Output$0 / 1M$2.50 / 1M$3.75 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$0.834 / 1M$0.75 / 1M
Cache Write (5m)$0.834 / 1M$0.75 / 1M
Cache Write (1h)$0.834 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderThinkingMachinesTencentGoogle
Categorychatchatchat
Charge typeFreePay 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.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.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.