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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. Gemini 3.5 TranscribeGoogleRemove
  3. Gemma 4 26B A4B (Free)GoogleRemove
transcribe-1-pro vs gemini-3.5-transcribe vs gemma-4-26b-a4b-it:free
AttributeTranscribe 1 Protranscribe-1-proGemini 3.5 Transcribegemini-3.5-transcribeGemma 4 26B A4B (Free)gemma-4-26b-a4b-it:free
Pricing
Input— Not priced per input token— Not priced per input token$0 / 1M
Output— Not priced per output token— Not priced per output token$0 / 1M
Cache Write (5m)Not applicableNot applicable—
Cache Write (1h)Not applicableNot applicable—
Cache ReadNot applicableNot applicable$0 / 1M
Web Search$0 / 1M$0 / 1M—
Cache Write——$0 / 1M
Context
Max contextN/A98.3K262.1K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderFish AudioGoogleGoogle
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoFree
Released2026-09-242026-09-25—
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.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.