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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 3.8 FlashGoogleRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Qwen3.8 27BAlibabaRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs gemini-4-argon vs gemini-3.5-transcribe vs qwen3.8-27b
AttributeGemini 3.8 Flashgemini-3.8-flashGemini 4 Argongemini-4-argonGemini 3.5 Transcribegemini-3.5-transcribeQwen3.8 27Bqwen3.8-27b
Pricing
Input$0.75 / 1M$2.00 / 1M— Not priced per input token$0.45 / 1M
Output$3.75 / 1M$10.00 / 1M— Not priced per output token$3.20 / 1M
Cache Write (5m)$0.75 / 1M$2.00 / 1MNot applicable$0.45 / 1M
Cache Write (1h)$0.75 / 1M$2.00 / 1MNot applicable$0.45 / 1M
Cache Read$0.75 / 1M$2.00 / 1MNot applicable$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K262K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderGoogleGoogleGoogleAlibaba
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryGemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.