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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 OpenMetaRemove
  2. DeepSeek V3.2 SpecialeDeepSeekRemove
muse-spark-open vs deepseek-v3.2-speciale
AttributeMuse Spark Openmuse-spark-openDeepSeek V3.2 Specialedeepseek-v3.2-speciale
Pricing
Input$1.25 / 1M$0.28 / 1M
Output$4.25 / 1M$0.40 / 1M
Cache Write (5m)$1.25 / 1M$0.28 / 1M
Cache Write (1h)$1.25 / 1M$0.28 / 1M
Cache Read$1.25 / 1M$0.28 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M163.8K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaDeepSeek
Categorychatchat
Charge typePay 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.DeepSeek-V3.2-Speciale is a high-compute edition of V3.2 built for top-tier reasoning and agent performance. Using DeepSeek Sparse Attention and extensive reinforcement learning, it surpasses GPT-5 on tough reasoning benchmarks and approaches Gemini 3 Pro–level capability, while still remaining strong at coding and tool use. It also draws on a large agent-training pipeline to boost reliability and generalization in interactive environments.