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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 OpenMetaRemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. GPT-6.1 SolOpenAIRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

muse-spark-open vs mai-ds-r1:free vs gpt-6.1-sol vs hy4-preview
AttributeMuse Spark Openmuse-spark-openmai-ds-r1:freeNot in the catalogueGPT-6.1 Solgpt-6.1-solHy4 previewhy4-preview
Pricing
Input$1.25 / 1M—$2.00 / 1M$0.834 / 1M
Output$4.25 / 1M—$10.00 / 1M$2.50 / 1M
Cache Write (5m)$1.25 / 1M—$2.00 / 1M$0.834 / 1M
Cache Write (1h)$1.25 / 1M—$2.00 / 1M$0.834 / 1M
Cache Read$1.25 / 1M—$2.00 / 1M$0.834 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Context
Max context1M—1M1M
Max outputN/A—N/AN/A
Capabilities
VisionYes—YesYes
Function CallingYes—YesYes
JSON ModeYes—YesYes
StreamingYes—YesYes
Catalogue
ProviderMeta—OpenAITencent
Categorychat—chatchat
Charge typePay As You Go—Pay As You GoPay As You Go
Released————
Description
SummaryMuse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.—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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.