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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. Perceptron Mk1.5PerceptronRemove
  2. GPT-5.6 TerraOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-5.6-terra vs gemini-3.5-transcribe vs transcribe-1-pro
AttributePerceptron Mk1.5perceptron-mk1.5GPT-5.6 Terragpt-5.6-terraGemini 3.5 Transcribegemini-3.5-transcribeTranscribe 1 Protranscribe-1-pro
Pricing
Input$0.15 / 1M$2.00 / 1M— Not priced per input token— Not priced per input token
Output$1.50 / 1M$12.00 / 1M— Not priced per output token— Not priced per output token
Cache Write (5m)$0.15 / 1M$2.00 / 1MNot applicableNot applicable
Cache Write (1h)$0.15 / 1M$2.00 / 1MNot applicableNot applicable
Cache Read$0.15 / 1M$2.00 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1M98.3KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesNo
JSON ModeNoYesNoNo
StreamingYesYesNoNo
Catalogue
ProviderPerceptronOpenAIGoogleFish Audio
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-252026-09-24
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.Google 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.