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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. Gemini 3.8 FlashGoogleRemove
  3. Muse Spark 1.3MetaRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

inkling vs gemini-3.8-flash vs muse-spark-1.3 vs gpt-6-astra
AttributeinklinginklingGemini 3.8 Flashgemini-3.8-flashMuse Spark 1.3muse-spark-1.3GPT-6 Astragpt-6-astra
Pricing
Input$0 / 1M$0.75 / 1M$1.25 / 1M$10.00 / 1M
Output$0 / 1M$3.75 / 1M$4.25 / 1M$50.00 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$0.75 / 1M$1.25 / 1M$10.00 / 1M
Cache Write (5m)$0.75 / 1M$1.25 / 1M$10.00 / 1M
Cache Write (1h)$0.75 / 1M$1.25 / 1M$10.00 / 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
ProviderThinkingMachinesGoogleMetaOpenAI
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 3.8 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.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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.