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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. Gemini 3.8 FlashGoogleRemove
  2. inklingThinkingMachinesRemove
  3. Muse Spark 1.3MetaRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs inkling vs muse-spark-1.3 vs gemini-3.7-flash
AttributeGemini 3.8 Flashgemini-3.8-flashinklinginklingMuse Spark 1.3muse-spark-1.3Gemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.75 / 1M$0 / 1M$1.25 / 1M$0.375 / 1M
Output$3.75 / 1M$0 / 1M$4.25 / 1M$1.88 / 1M
Cache Write (5m)$0.75 / 1M$1.25 / 1M$0.375 / 1M
Cache Write (1h)$0.75 / 1M$1.25 / 1M$0.375 / 1M
Cache Read$0.75 / 1M$0 / 1M$1.25 / 1M$0.375 / 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
ProviderGoogleThinkingMachinesMetaGoogle
Categorychatchatchatchat
Charge typePay As You GoFreePay As You GoPay As You Go
Released
Description
SummaryGemini 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.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.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.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.