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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. Hy4 previewTencentRemove
  3. Qwen3.8 27BAlibabaRemove
  4. GPT-3.5 TurboOpenAIRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs hy4-preview vs qwen3.8-27b vs gpt-3.5-turbo
AttributeMuse Spark 1.3muse-spark-1.3Hy4 previewhy4-previewQwen3.8 27Bqwen3.8-27bGPT-3.5 Turbogpt-3.5-turbo
Pricing
Input$1.25 / 1M$0.834 / 1M$0.45 / 1M$0.50 / 1M
Output$4.25 / 1M$2.50 / 1M$3.20 / 1M$1.50 / 1M
Cache Write (5m)$1.25 / 1M$0.834 / 1M$0.45 / 1M$0.50 / 1M
Cache Write (1h)$1.25 / 1M$0.834 / 1M$0.45 / 1M$0.50 / 1M
Cache Read$1.25 / 1M$0.834 / 1M$0.45 / 1M$0.50 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M262K16.4K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderMetaTencentAlibabaOpenAI
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.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.Qwen3.8 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.