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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. GPT-6 AstraOpenAIRemove
  3. Qwen2.5 Coder 7B InstructAlibabaRemove
muse-spark-1.3 vs gpt-6-astra vs qwen2.5-coder-7b-instruct
AttributeMuse Spark 1.3muse-spark-1.3GPT-6 Astragpt-6-astraQwen2.5 Coder 7B Instructqwen2.5-coder-7b-instruct
Pricing
Input$1.25 / 1M$10.00 / 1M$0.20 / 1M
Output$4.25 / 1M$50.00 / 1M$0.20 / 1M
Cache Write (5m)$1.25 / 1M$10.00 / 1M$0.20 / 1M
Cache Write (1h)$1.25 / 1M$10.00 / 1M$0.20 / 1M
Cache Read$1.25 / 1M$10.00 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M32.8K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMetaOpenAIAlibaba
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.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.