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Compare models

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 1.3MetaRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Command ACohereRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs deepseek-v4.1-flash vs gemini-3.8-flash vs command-a
AttributeMuse Spark 1.3muse-spark-1.3DeepSeek V4.1 Flashdeepseek-v4.1-flashGemini 3.8 Flashgemini-3.8-flashCommand Acommand-a
Pricing
Input$1.25 / 1M$0.30 / 1M$0.75 / 1M$2.50 / 1M
Output$4.25 / 1M$1.20 / 1M$3.75 / 1M$10.00 / 1M
Cache Write (5m)$1.25 / 1M$0.30 / 1M$0.75 / 1M$2.50 / 1M
Cache Write (1h)$1.25 / 1M$0.30 / 1M$0.75 / 1M$2.50 / 1M
Cache Read$1.25 / 1M$0.30 / 1M$0.75 / 1M$2.50 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M256K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderMetaDeepSeekGoogleCohere
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryMuse 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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.Gemini 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.