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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 3.5 TranscribeGoogleRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Grok 4.20 BetaxAIRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs transcribe-1-pro vs perceptron-mk1.5 vs grok-4.20-beta
AttributeGemini 3.5 Transcribegemini-3.5-transcribeTranscribe 1 Protranscribe-1-proPerceptron Mk1.5perceptron-mk1.5Grok 4.20 Betagrok-4.20-beta
Pricing
Input— Not priced per input token— Not priced per input token$0.15 / 1M$2.00 / 1M
Output— Not priced per output token— Not priced per output token$1.50 / 1M$6.00 / 1M
Cache Write (5m)Not applicableNot applicable$0.15 / 1M$2.00 / 1M
Cache Write (1h)Not applicableNot applicable$0.15 / 1M$2.00 / 1M
Cache ReadNot applicableNot applicable$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/A36.9K2M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeNoNoNoYes
StreamingNoNoYesYes
Catalogue
ProviderGoogleFish AudioPerceptronxAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-242026-09-25—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Grok 4.20 Beta is xAI's newest flagship model, designed for high-performance reasoning with industry-leading speed and strong agentic tool-calling capabilities. It emphasizes strict prompt adherence and low hallucination rates, enabling highly reliable and precise responses across complex tasks. Optimized for agent workflows and real-time applications, Grok 4.20 Beta delivers consistent, truthful outputs while maintaining fast inference and strong task execution reliability.