Skip to content

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 3.8 FlashGoogleRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-3.8-flash vs glm-5.3-flash vs gemini-3.5-transcribe
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3 Flashglm-5.3-flashGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.75 / 1M$0.075 / 1M— Not priced per input token
Output$3.75 / 1M$0.25 / 1M— Not priced per output token
Cache Write (5m)$0.75 / 1M$0.075 / 1MNot applicable
Cache Write (1h)$0.75 / 1M$0.075 / 1MNot applicable
Cache Read$0.75 / 1M$0.075 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleZ.AIGoogle
Categorychatchatvoice
Charge typePay 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.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.