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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. Perceptron Mk1.5PerceptronRemove
  4. Qwen3 ASR 1.7BQwenRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs aura-2 vs perceptron-mk1.5 vs qwen3-asr-1.7b
AttributeGemini 3.5 Transcribegemini-3.5-transcribeAura-2aura-2Perceptron Mk1.5perceptron-mk1.5Qwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input$0 / 1M$0 / 1M$0.15 / 1M$0 / 1M
Output$0 / 1M$0 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)Not applicableNot applicable$0.15 / 1MNot applicable
Cache Write (1h)Not applicableNot applicable$0.15 / 1MNot applicable
Cache ReadNot applicableNot applicable$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/A36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeNoNoNoNo
StreamingNoNoYesNo
Catalogue
ProviderGoogleDeepgramPerceptronQwen
Categoryvoicevoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-162026-09-252026-08-13
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.