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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. Transcribe 1 ProFish AudioRemove
  2. GPT-5.6 TerraOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs gpt-5.6-terra vs perceptron-mk1.5 vs gpt-6-luna
AttributeTranscribe 1 Protranscribe-1-proGPT-5.6 Terragpt-5.6-terraPerceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-luna
Pricing
Input— Not priced per input token$2.00 / 1M$0.15 / 1M$0.10 / 1M
Output— Not priced per output token$12.00 / 1M$1.50 / 1M$0.50 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.15 / 1M$0.10 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.15 / 1M$0.10 / 1M
Cache ReadNot applicable$2.00 / 1M$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M36.9K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesYesYes
Catalogue
ProviderFish AudioOpenAIPerceptronOpenAI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-24—2026-09-25—
Description
SummaryFish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.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.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.