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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. Muse Spark 1.3MetaRemove
inkling vs muse-spark-1.3
AttributeinklinginklingMuse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$1.25 / 1M
Output$0 / 1M$4.25 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$1.25 / 1M
Cache Write (5m)$1.25 / 1M
Cache Write (1h)$1.25 / 1M
Web Search$0 / 1M
Context
Max context1M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderThinkingMachinesMeta
Categorychatchat
Charge typeFreePay 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.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.