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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 FlashGoogleRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 SolOpenAIRemove
gemini-3.5-flash vs gemini-3.5-transcribe vs gpt-6-sol
AttributeGemini 3.5 Flashgemini-3.5-flashGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Solgpt-6-sol
Pricing
Input$1.50 / 1M$0 / 1M$2.00 / 1M
Output$9.00 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)$1.50 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$1.50 / 1MNot applicable$2.00 / 1M
Cache Read$1.50 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3K1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleGoogleOpenAI
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGemini 3.5 Flash is Google's high-efficiency multimodal model, delivering near-Pro level performance in coding and reasoning at Flash-tier speed and cost. It supports text, image, video, audio, and PDF inputs, making it well suited for diverse multimodal workflows. Optimized for coding proficiency and parallel agentic execution, the model defaults to medium thinking effort for faster, cost-efficient responses while supporting configurable thinking levels (minimal, low, medium, high) for fine-grained cost–performance control.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications