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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. Nova-3DeepgramRemove
  3. GPT-6 Sol ProOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs nova-3 vs gpt-6-sol-pro vs perceptron-mk1.5
AttributeGemini 3.5 Transcribegemini-3.5-transcribeNova-3nova-3GPT-6 Sol Progpt-6-sol-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M$0 / 1M$2.00 / 1M$0.15 / 1M
Output$0 / 1M$0 / 1M$10.00 / 1M$1.50 / 1M
Cache Write (5m)Not applicableNot applicable$2.00 / 1M$0.15 / 1M
Cache Write (1h)Not applicableNot applicable$2.00 / 1M$0.15 / 1M
Cache ReadNot applicableNot applicable$2.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/A1.1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesNo
Function CallingYesNoYesNo
JSON ModeNoNoYesNo
StreamingNoNoYesYes
Catalogue
ProviderGoogleDeepgramOpenAIPerceptron
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-15—2026-09-25
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Deepgram Nova-3 speech-to-text. Billed per second of audio.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.