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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. Muse Spark 1.3MetaRemove
  2. GPT-6 SolOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Grok STT 1.0xAIRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gpt-6-sol vs perceptron-mk1.5 vs grok-stt-1.0
AttributeMuse Spark 1.3muse-spark-1.3GPT-6 Solgpt-6-solPerceptron Mk1.5perceptron-mk1.5Grok STT 1.0grok-stt-1.0
Pricing
Input$1.25 / 1M$2.00 / 1M$0.15 / 1M$0 / 1M
Output$4.25 / 1M$10.00 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1M$2.00 / 1M$0.15 / 1MNot applicable
Cache Write (1h)$1.25 / 1M$2.00 / 1M$0.15 / 1MNot applicable
Cache Read$1.25 / 1M$2.00 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1.1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesYesNoNo
StreamingYesYesYesNo
Catalogue
ProviderMetaOpenAIPerceptronxAI
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-252026-07-23
Description
SummaryMuse 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 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.