Skip to content

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. Transcribe 1 ProFish AudioRemove
  3. Mistral Small 4Mistral AIRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs transcribe-1-pro vs mistral-small-2603 vs gpt-6-luna
AttributePerceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-proMistral Small 4mistral-small-2603GPT-6 Lunagpt-6-luna
Pricing
Input$0.15 / 1M— Not priced per input token$0.15 / 1M$0.10 / 1M
Output$1.50 / 1M— Not priced per output token$0.60 / 1M$0.50 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$0.15 / 1M$0.10 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$0.15 / 1M$0.10 / 1M
Cache Read$0.15 / 1MNot applicable$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/A262.1K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderPerceptronFish AudioMistral AIOpenAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-24——
Description
SummaryPerceptron 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.Mistral Small 4 is the latest release in the Mistral Small family, unifying capabilities from multiple flagship models into a single system. It integrates strong reasoning (Magistral), multimodal understanding (Pixtral), and agentic coding capabilities (Devstral), enabling a versatile, all-in-one model. Designed to handle complex analysis, software development, and visual tasks within the same workflow, Mistral Small 4 is well suited for integrated agentic applications and end-to-end problem solving across domains.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.