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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. Nova-3DeepgramRemove
  3. Transcribe 1 ProFish AudioRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs nova-3 vs transcribe-1-pro vs gpt-6-astra
AttributeMuse Spark 1.3muse-spark-1.3Nova-3nova-3Transcribe 1 Protranscribe-1-proGPT-6 Astragpt-6-astra
Pricing
Input$1.25 / 1M$0 / 1M$0 / 1M$10.00 / 1M
Output$4.25 / 1M$0 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$1.25 / 1MNot applicableNot applicable$10.00 / 1M
Cache Write (1h)$1.25 / 1MNot applicableNot applicable$10.00 / 1M
Cache Read$1.25 / 1MNot applicableNot applicable$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/AN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderMetaDeepgramFish AudioOpenAI
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-152026-09-24—
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.Deepgram Nova-3 speech-to-text. Billed per second of audio.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.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.