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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. GPT-6.1 SolOpenAIRemove
  2. Muse Spark 1.3MetaRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
gpt-6.1-sol vs muse-spark-1.3 vs mai-ds-r1:free
AttributeGPT-6.1 Solgpt-6.1-solMuse Spark 1.3muse-spark-1.3mai-ds-r1:freeNot in the catalogue
Pricing
Input$2.00 / 1M$1.25 / 1M—
Output$10.00 / 1M$4.25 / 1M—
Cache Write (5m)$2.00 / 1M$1.25 / 1M—
Cache Write (1h)$2.00 / 1M$1.25 / 1M—
Cache Read$2.00 / 1M$1.25 / 1M—
Web Search$0 / 1M$0 / 1M—
Context
Max context1M1M—
Max outputN/AN/A—
Capabilities
VisionYesYes—
Function CallingYesYes—
JSON ModeYesYes—
StreamingYesYes—
Catalogue
ProviderOpenAIMeta—
Categorychatchat—
Charge typePay As You GoPay As You Go—
Released———
Description
SummaryGPT-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.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.—