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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. Nova-3DeepgramRemove
  3. Claude Sonnet 5.5AnthropicRemove
  4. DeepSeek V4.1 FlashDeepSeekRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs nova-3 vs claude-sonnet-5.5 vs deepseek-v4.1-flash
AttributeMuse Spark 1.3muse-spark-1.3Nova-3nova-3Claude Sonnet 5.5claude-sonnet-5.5DeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$1.25 / 1M$0 / 1M$2.00 / 1M$0.30 / 1M
Output$4.25 / 1M$0 / 1M$10.00 / 1M$1.20 / 1M
Cache Write (5m)$1.25 / 1MNot applicable$2.50 / 1M$0.30 / 1M
Cache Write (1h)$1.25 / 1MNot applicable$4.00 / 1M$0.30 / 1M
Cache Read$1.25 / 1MNot applicable$0.20 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderMetaDeepgramAnthropicDeepSeek
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-15——
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.Deepgram Nova-3 speech-to-text. Billed per second of audio.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.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.