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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. Muse Spark 1.3MetaRemove
  2. GPT-5.6 Sol ProOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
muse-spark-1.3 vs gpt-5.6-sol-pro vs gemini-3.5-transcribe
AttributeMuse Spark 1.3muse-spark-1.3GPT-5.6 Sol Progpt-5.6-sol-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$1.25 / 1M$5.00 / 1M— Not priced per input token
Output$4.25 / 1M$30.00 / 1M— Not priced per output token
Cache Write (5m)$1.25 / 1M$5.00 / 1MNot applicable
Cache Write (1h)$1.25 / 1M$5.00 / 1MNot applicable
Cache Read$1.25 / 1M$5.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMetaOpenAIGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
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-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.