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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. Veo 3 ProGoogleRemove
  2. Qwen3.8 27BAlibabaRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

veo3-pro vs qwen3.8-27b vs deepseek-v4.1-flash vs muse-spark-1.3
AttributeVeo 3 Proveo3-proQwen3.8 27Bqwen3.8-27bDeepSeek V4.1 Flashdeepseek-v4.1-flashMuse Spark 1.3muse-spark-1.3
Pricing
Request$5.60 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.45 / 1M$0.30 / 1M$1.25 / 1M
Cache Write (1h)Not applicable$0.45 / 1M$0.30 / 1M$1.25 / 1M
Cache ReadNot applicable$0.45 / 1M$0.30 / 1M$1.25 / 1M
Input$0.45 / 1M$0.30 / 1M$1.25 / 1M
Output$3.20 / 1M$1.20 / 1M$4.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A262K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleAlibabaDeepSeekMeta
Categoryvideochatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
Released
Description
SummaryQwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.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.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.