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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. DeepSeek V4.1 FlashDeepSeekRemove
  2. Veo 3 ProGoogleRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs veo3-pro vs gemini-3.8-flash vs muse-spark-1.3
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashVeo 3 Proveo3-proGemini 3.8 Flashgemini-3.8-flashMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.30 / 1M$0.75 / 1M$1.25 / 1M
Output$1.20 / 1M$3.75 / 1M$4.25 / 1M
Cache Write (5m)$0.30 / 1MNot applicable$0.75 / 1M$1.25 / 1M
Cache Write (1h)$0.30 / 1MNot applicable$0.75 / 1M$1.25 / 1M
Cache Read$0.30 / 1MNot applicable$0.75 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$5.60 / request
BillingPay Per Request
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderDeepSeekGoogleGoogleMeta
Categorychatvideochatchat
Charge typePay As You GoPay Per RequestPay As You GoPay As You Go
Released
Description
SummaryDeepSeek 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.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.