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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-6.1 SolOpenAIRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
muse-spark-1.3 vs gpt-6.1-sol vs mai-ds-r1:free
AttributeMuse Spark 1.3muse-spark-1.3GPT-6.1 Solgpt-6.1-solmai-ds-r1:freeNot in the catalogue
Pricing
Input$1.25 / 1M$2.00 / 1M—
Output$4.25 / 1M$10.00 / 1M—
Cache Write (5m)$1.25 / 1M$2.00 / 1M—
Cache Write (1h)$1.25 / 1M$2.00 / 1M—
Cache Read$1.25 / 1M$2.00 / 1M—
Web Search$0 / 1M$0 / 1M—
Context
Max context1M1M—
Max outputN/AN/A—
Capabilities
VisionYesYes—
Function CallingYesYes—
JSON ModeYesYes—
StreamingYesYes—
Catalogue
ProviderMetaOpenAI—
Categorychatchat—
Charge typePay As You GoPay As You Go—
Released———
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-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.—