Skip to content
Apertis

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 3.5 TranscribeGoogleRemove
  2. Aura-2DeepgramRemove
  3. Nova-3DeepgramRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs aura-2 vs nova-3 vs muse-spark-1.3
AttributeGemini 3.5 Transcribegemini-3.5-transcribeAura-2aura-2Nova-3nova-3Muse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$0 / 1M$0 / 1M$1.25 / 1M
Output$0 / 1M$0 / 1M$0 / 1M$4.25 / 1M
Cache Write (5m)Not applicableNot applicableNot applicable$1.25 / 1M
Cache Write (1h)Not applicableNot applicableNot applicable$1.25 / 1M
Cache ReadNot applicableNot applicableNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/AN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeNoNoNoYes
StreamingNoNoNoYes
Catalogue
ProviderGoogleDeepgramDeepgramMeta
Categoryvoicevoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-162026-07-15—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Deepgram Nova-3 speech-to-text. Billed per second of audio.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.