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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. Qwen2.5 72B InstructAlibabaRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. Muse Spark 1.3MetaRemove
qwen-2.5-72b-instruct vs gemini-3.8-flash vs muse-spark-1.3
AttributeQwen2.5 72B Instructqwen-2.5-72b-instructGemini 3.8 Flashgemini-3.8-flashMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.13 / 1M$0.75 / 1M$1.25 / 1M
Output$0.40 / 1M$3.75 / 1M$4.25 / 1M
Cache Write (5m)$0.13 / 1M$0.75 / 1M$1.25 / 1M
Cache Write (1h)$0.13 / 1M$0.75 / 1M$1.25 / 1M
Cache Read$0.13 / 1M$0.75 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context32K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderAlibabaGoogleMeta
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.