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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 3.1 Flash TTS PreviewGoogleRemove
  2. Gemini 4 ArgonGoogleRemove
gemini-3.1-flash-tts-preview vs gemini-4-argon
AttributeGemini 3.1 Flash TTS Previewgemini-3.1-flash-tts-previewGemini 4 Argongemini-4-argon
Pricing
Input$27.50 / 1M$2.00 / 1M
Output— Not priced per output token$10.00 / 1M
Cache Write (5m)Not applicable$2.00 / 1M
Cache Write (1h)Not applicable$2.00 / 1M
Cache ReadNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context8.2K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingNoYes
JSON ModeYesYes
StreamingNoYes
Catalogue
ProviderGoogleGoogle
Categoryvoicechat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGemini 3.1 Flash TTS Preview is Google's next-generation text-to-speech model, delivering a major upgrade over Gemini 2.5 Flash TTS. It converts text into natural audio across 70+ languages, with significantly expanded language coverage and improved quality. The model introduces 200+ inline audio control tags (e.g., [whispers], [laughs], [excited]) for fine-grained control over emotion, tone, and pacing, along with support for two speakers with independent voice and style settings. It outputs 24 kHz / 16-bit PCM audio, includes SynthID watermarking, and supports a 32K token context window. Designed for expressive and controllable voice generation, it is well suited for dialogue systems, storytelling, character-driven content, and advanced audio production workflows.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.