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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 3.7 FlashGoogleRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Gemini 4 ArgonGoogleRemove
gemini-3.7-flash vs gemini-3.5-transcribe vs gemini-4-argon
AttributeGemini 3.7 Flashgemini-3.7-flashGemini 3.5 Transcribegemini-3.5-transcribeGemini 4 Argongemini-4-argon
Pricing
Input$0.375 / 1M— Not priced per input token$2.00 / 1M
Output$1.88 / 1M— Not priced per output token$10.00 / 1M
Cache Write (5m)$0.375 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$0.375 / 1MNot applicable$2.00 / 1M
Cache Read$0.375 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleGoogleGoogle
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.