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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 V4 FlashDeepSeekRemove
muse-spark-open vs deepseek-v4-flash
AttributeMuse Spark Openmuse-spark-openDeepSeek V4 Flashdeepseek-v4-flash
Pricing
Input$1.25 / 1M$0.14 / 1M
Output$4.25 / 1M$0.28 / 1M
Cache Write (5m)$1.25 / 1M$0.14 / 1M
Cache Write (1h)$1.25 / 1M$0.14 / 1M
Cache Read$1.25 / 1M$0.14 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1.0M
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 V4 Flash is an efficiency-optimized Mixture-of-Experts (MoE) model with 284B total parameters and 13B activated per token, designed for fast inference and high-throughput workloads. It supports a 1M-token context window, enabling large-scale reasoning and long-context processing. Built with hybrid attention for efficiency, the model maintains strong performance in reasoning and coding while offering configurable reasoning modes. It is well suited for coding assistants, chat systems, and agent workflows where responsiveness and cost efficiency are critical.