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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 26B A4B (Free)GoogleRemove
perceptron-mk1.5 vs gemini-3.5-transcribe vs gemma-4-26b-a4b-it:free
AttributePerceptron Mk1.5perceptron-mk1.5Gemini 3.5 Transcribegemini-3.5-transcribeGemma 4 26B A4B (Free)gemma-4-26b-a4b-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 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind, featuring 25.2B total parameters with only 3.8B activated per token—delivering near 31B-class quality at a fraction of the compute cost. It supports multimodal inputs including text, images, and video (up to 60s at 1fps). The model includes a 256K token context window, native function calling, configurable thinking/reasoning modes, and structured output support. Released under the Apache 2.0 license, it is well suited for efficient, production-ready multimodal and agentic applications.