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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. Gemini 3.7 FlashGoogleRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

inkling vs gemini-3.7-flash vs gemini-3.8-flash vs hy4-preview
AttributeinklinginklingGemini 3.7 Flashgemini-3.7-flashGemini 3.8 Flashgemini-3.8-flashHy4 previewhy4-preview
Pricing
Input$0 / 1M$0.375 / 1M$0.75 / 1M$0.834 / 1M
Output$0 / 1M$1.88 / 1M$3.75 / 1M$2.50 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$0.375 / 1M$0.75 / 1M$0.834 / 1M
Cache Write (5m)$0.375 / 1M$0.75 / 1M$0.834 / 1M
Cache Write (1h)$0.375 / 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
ProviderThinkingMachinesGoogleGoogleTencent
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.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.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.