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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. Gemini 3.5 TranscribeGoogleRemove
  2. Gemma 4 26B A4BGoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
gemini-3.5-transcribe vs gemma-4-26b-a4b-it vs perceptron-mk1.5
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGemma 4 26B A4Bgemma-4-26b-a4b-itPerceptron Mk1.5perceptron-mk1.5
Pricing
Input— Not priced per input token$0.13 / 1M$0.15 / 1M
Output— Not priced per output token$0.40 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$0.13 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$0.13 / 1M$0.15 / 1M
Cache ReadNot applicable$0.13 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K262.1K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeNoYesNo
StreamingNoYesYes
Catalogue
ProviderGoogleGooglePerceptron
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-25
Description
SummaryGoogle 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.