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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. Gemini 3.7 FlashGoogleRemove
  2. Muse Spark 1.3MetaRemove
  3. GPT-6 AstraOpenAIRemove
  4. Veo 3GoogleRemove

4 is the maximum. Remove one to add another.

gemini-3.7-flash vs muse-spark-1.3 vs gpt-6-astra vs veo3
AttributeGemini 3.7 Flashgemini-3.7-flashMuse Spark 1.3muse-spark-1.3GPT-6 Astragpt-6-astraVeo 3veo3
Pricing
Input$0.375 / 1M$1.25 / 1M$10.00 / 1M
Output$1.88 / 1M$4.25 / 1M$50.00 / 1M
Cache Write (5m)$0.375 / 1M$1.25 / 1M$10.00 / 1MNot applicable
Cache Write (1h)$0.375 / 1M$1.25 / 1M$10.00 / 1MNot applicable
Cache Read$0.375 / 1M$1.25 / 1M$10.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Request$1.26 / request
BillingPay Per Request
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderGoogleMetaOpenAIGoogle
Categorychatchatchatvideo
Charge typePay As You GoPay As You GoPay As You GoPay Per Request
Released
Description
SummaryGemini 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.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.