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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. Qwen3 Next 80B A3B InstructAlibabaRemove
muse-spark-open vs qwen3-next-80b-a3b-instruct
AttributeMuse Spark Openmuse-spark-openQwen3 Next 80B A3B Instructqwen3-next-80b-a3b-instruct
Pricing
Input$1.25 / 1M$0.10 / 1M
Output$4.25 / 1M$0.40 / 1M
Cache Write (5m)$1.25 / 1M$0.10 / 1M
Cache Write (1h)$1.25 / 1M$0.10 / 1M
Cache Read$1.25 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M262.1K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaAlibaba
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.Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model optimized for fast, stable answers without exposing chain-of-thought. It handles complex reasoning, code generation, knowledge QA, and multilingual tasks with strong alignment and formatting reliability. Designed for high throughput and stability on ultra-long inputs and multi-turn conversations, it’s well suited for RAG, tool use, and agent workflows where consistent final outputs matter. It delivers near–large-model performance with efficient inference, making it a strong choice for production assistants and long-context problem solving.