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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. Transcribe 1 ProFish AudioRemove
  3. Gemma 4 31BGoogleRemove
gemini-3.5-transcribe vs transcribe-1-pro vs gemma-4-31b-it
AttributeGemini 3.5 Transcribegemini-3.5-transcribeTranscribe 1 Protranscribe-1-proGemma 4 31Bgemma-4-31b-it
Pricing
Input— Not priced per input token— Not priced per input token$0.14 / 1M
Output— Not priced per output token— Not priced per output token$0.40 / 1M
Cache Write (5m)Not applicableNot applicable$0.14 / 1M
Cache Write (1h)Not applicableNot applicable$0.14 / 1M
Cache ReadNot applicableNot applicable$0.14 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/A262.1K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderGoogleFish AudioGoogle
Categoryvoicevoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-24—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output 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.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.