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  1. Qwen3.5-122B-A10BAlibabaRemove
  2. Muse Spark 1.3MetaRemove
qwen3.5-122b-a10b vs muse-spark-1.3
AttributeQwen3.5-122B-A10Bqwen3.5-122b-a10bMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.40 / 1M$1.25 / 1M
Output$3.20 / 1M$4.25 / 1M
Cache Write (5m)$0.40 / 1M$1.25 / 1M
Cache Write (1h)$0.40 / 1M$1.25 / 1M
Cache Read$0.40 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context262.1K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaMeta
Categorychatchat
Charge typePay As You GoPay As You Go
Released
Description
SummaryQwen3.5-122B-A10B is a native vision-language model built on a hybrid architecture that combines linear attention mechanisms with a sparse Mixture-of-Experts (MoE) design for improved inference efficiency. In overall performance, it ranks just below Qwen3.5-397B-A17B, delivering substantial gains over previous generations. Its text capabilities significantly exceed Qwen3-235B-2507, while its visual performance surpasses Qwen3-VL-235B, making it a strong high-end option for advanced multimodal and agent-driven applications.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.