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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. GPT-5.6 TerraOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs gpt-5.6-terra vs perceptron-mk1.5 vs transcribe-1-pro
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGPT-5.6 Terragpt-5.6-terraPerceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-pro
Pricing
Input— Not priced per input token$2.00 / 1M$0.15 / 1M— Not priced per input token
Output— Not priced per output token$12.00 / 1M$1.50 / 1M— Not priced per output token
Cache Write (5m)Not applicable$2.00 / 1M$0.15 / 1MNot applicable
Cache Write (1h)Not applicable$2.00 / 1M$0.15 / 1MNot applicable
Cache ReadNot applicable$2.00 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesYesNo
Catalogue
ProviderGoogleOpenAIPerceptronFish Audio
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-252026-09-24
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-5.6 Terra is the balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is designed for everyday coding, reasoning, and agentic workflows, delivering strong performance while balancing capability and cost. Offering near-flagship quality at approximately half the cost of Sol, GPT-5.6 Terra is well suited for production applications that require reliable reasoning, software development, and scalable agent execution.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.