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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. Gemini 3.8 FlashGoogleRemove
  2. Muse Spark 1.3MetaRemove
  3. Devstral MediumMistral AIRemove
gemini-3.8-flash vs muse-spark-1.3 vs devstral-medium
AttributeGemini 3.8 Flashgemini-3.8-flashMuse Spark 1.3muse-spark-1.3Devstral Mediumdevstral-medium
Pricing
Input$0.75 / 1M$1.25 / 1M$0.80 / 1M
Output$3.75 / 1M$4.25 / 1M$4.00 / 1M
Cache Write (5m)$0.75 / 1M$1.25 / 1M$0.80 / 1M
Cache Write (1h)$0.75 / 1M$1.25 / 1M$0.80 / 1M
Cache Read$0.75 / 1M$1.25 / 1M$0.80 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M131.1K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleMetaMistral AI
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.