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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. Ministral 3 14B 2512Mistral AIRemove
  3. GPT-6 AstraOpenAIRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs ministral-14b-2512 vs gpt-6-astra vs hy4-preview
AttributeMuse Spark 1.3muse-spark-1.3Ministral 3 14B 2512ministral-14b-2512GPT-6 Astragpt-6-astraHy4 previewhy4-preview
Pricing
Input$1.25 / 1M$0.20 / 1M$10.00 / 1M$0.834 / 1M
Output$4.25 / 1M$0.20 / 1M$50.00 / 1M$2.50 / 1M
Cache Write (5m)$1.25 / 1M$0.20 / 1M$10.00 / 1M$0.834 / 1M
Cache Write (1h)$1.25 / 1M$0.20 / 1M$10.00 / 1M$0.834 / 1M
Cache Read$1.25 / 1M$0.20 / 1M$10.00 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262.1K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderMetaMistral AIOpenAITencent
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.Ministral 3 14B is the largest model in the Ministral 3 lineup, delivering near–frontier performance similar to the larger Mistral Small 3.2 24B. It's a powerful yet efficient language model that also includes vision capabilities.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.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.