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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. GPT-6 AstraOpenAIRemove
  3. Gemini 3.7 FlashGoogleRemove
  4. Qwen3.8 27BAlibabaRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gpt-6-astra vs gemini-3.7-flash vs qwen3.8-27b
AttributeMuse Spark 1.3muse-spark-1.3GPT-6 Astragpt-6-astraGemini 3.7 Flashgemini-3.7-flashQwen3.8 27Bqwen3.8-27b
Pricing
Input$1.25 / 1M$10.00 / 1M$0.375 / 1M$0.45 / 1M
Output$4.25 / 1M$50.00 / 1M$1.88 / 1M$3.20 / 1M
Cache Write (5m)$1.25 / 1M$10.00 / 1M$0.375 / 1M$0.45 / 1M
Cache Write (1h)$1.25 / 1M$10.00 / 1M$0.375 / 1M$0.45 / 1M
Cache Read$1.25 / 1M$10.00 / 1M$0.375 / 1M$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M262K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderMetaOpenAIGoogleAlibaba
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.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.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.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.