Skip to content

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. GPT-6 Astra ProOpenAIRemove
  2. Muse Spark 1.3MetaRemove
  3. Hy4 previewTencentRemove
  4. Qwen3.8 MaxAlibabaRemove

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs muse-spark-1.3 vs hy4-preview vs qwen3.8-max
AttributeGPT-6 Astra Progpt-6-astra-proMuse Spark 1.3muse-spark-1.3Hy4 previewhy4-previewQwen3.8 Maxqwen3.8-max
Pricing
Input$10.00 / 1M$1.25 / 1M$0.834 / 1M$2.00 / 1M
Output$50.00 / 1M$4.25 / 1M$2.50 / 1M$6.00 / 1M
Cache Write (5m)$10.00 / 1M$1.25 / 1M$0.834 / 1M$2.00 / 1M
Cache Write (1h)$10.00 / 1M$1.25 / 1M$0.834 / 1M$2.00 / 1M
Cache Read$10.00 / 1M$1.25 / 1M$0.834 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIMetaTencentAlibaba
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.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.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 Max is the flagship model in Alibaba's Qwen3.8 series and the general-availability successor to Qwen3.8 Max Preview. It is a multimodal reasoning model designed for complex tasks across reasoning, visual understanding, coding, and agentic workflows. As the production-ready top tier of the Qwen3.8 family, it is well suited for advanced problem solving, multimodal analysis, software engineering, and long-running tool-driven applications.