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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. Muse Spark 1.3MetaRemove
  2. DeepSeek R1 Distill Llama 8BDeepSeekRemove
  3. Hy4 previewTencentRemove
muse-spark-1.3 vs deepseek-r1-distill-llama-8b vs hy4-preview
AttributeMuse Spark 1.3muse-spark-1.3DeepSeek R1 Distill Llama 8Bdeepseek-r1-distill-llama-8bHy4 previewhy4-preview
Pricing
Input$1.25 / 1M$0.04 / 1M$0.834 / 1M
Output$4.25 / 1M$0.04 / 1M$2.50 / 1M
Cache Write (5m)$1.25 / 1M$0.04 / 1M$0.834 / 1M
Cache Write (1h)$1.25 / 1M$0.04 / 1M$0.834 / 1M
Cache Read$1.25 / 1M$0.04 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M32K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderMetaDeepSeekTencent
Categorychatchatchat
Charge typePay 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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.