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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. Gemini 3.5 TranscribeGoogleRemove
  3. Gemma 4 31B (Free)GoogleRemove
perceptron-mk1.5 vs gemini-3.5-transcribe vs gemma-4-31b-it:free
AttributePerceptron Mk1.5perceptron-mk1.5Gemini 3.5 Transcribegemini-3.5-transcribeGemma 4 31B (Free)gemma-4-31b-it:free
Pricing
Input$0.15 / 1M— Not priced per input token$0 / 1M
Output$1.50 / 1M— Not priced per output token$0 / 1M
Cache Write (5m)$0.15 / 1MNot applicable—
Cache Write (1h)$0.15 / 1MNot applicable—
Cache Read$0.15 / 1MNot applicable$0 / 1M
Web Search$0 / 1M$0 / 1M—
Cache Write——$0 / 1M
Context
Max context36.9K98.3K262.1K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingYesNoYes
Catalogue
ProviderPerceptronGoogleGoogle
Categorychatvoicechat
Charge typePay As You GoPay As You GoFree
Released2026-09-252026-09-25—
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.