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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. MiniMax M1MiniMaxRemove
  2. GPT-6 AstraOpenAIRemove
  3. Gemini 3.7 FlashGoogleRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

minimax-m1 vs gpt-6-astra vs gemini-3.7-flash vs muse-spark-1.3
AttributeMiniMax M1minimax-m1GPT-6 Astragpt-6-astraGemini 3.7 Flashgemini-3.7-flashMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.30 / 1M$10.00 / 1M$0.375 / 1M$1.25 / 1M
Output$1.65 / 1M$50.00 / 1M$1.88 / 1M$4.25 / 1M
Cache Write (5m)$0.30 / 1M$10.00 / 1M$0.375 / 1M$1.25 / 1M
Cache Write (1h)$0.30 / 1M$10.00 / 1M$0.375 / 1M$1.25 / 1M
Cache Read$0.30 / 1M$10.00 / 1M$0.375 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderMiniMaxOpenAIGoogleMeta
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.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.