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Compare models

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. Gemini 3.8 FlashGoogleRemove
  3. GPT-5.6 Sol ProOpenAIRemove
gemini-3.5-transcribe vs gemini-3.8-flash vs gpt-5.6-sol-pro
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGemini 3.8 Flashgemini-3.8-flashGPT-5.6 Sol Progpt-5.6-sol-pro
Pricing
Input— Not priced per input token$0.75 / 1M$5.00 / 1M
Output— Not priced per output token$3.75 / 1M$30.00 / 1M
Cache Write (5m)Not applicable$0.75 / 1M$5.00 / 1M
Cache Write (1h)Not applicable$0.75 / 1M$5.00 / 1M
Cache ReadNot applicable$0.75 / 1M$5.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleGoogleOpenAI
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Gemini 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.GPT-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost.