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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 3.8 FlashGoogleRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Whisper 1OpenAIRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs glm-5.3-flash vs whisper-1 vs glm-5.3
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3 Flashglm-5.3-flashWhisper 1whisper-1GLM 5.3glm-5.3
Pricing
Input$0.75 / 1M$0.075 / 1M$75.00 / 1M$1.40 / 1M
Output$3.75 / 1M$0.25 / 1M$75.00 / 1M$4.40 / 1M
Cache Write (5m)$0.75 / 1M$0.075 / 1MNot applicable$1.40 / 1M
Cache Write (1h)$0.75 / 1M$0.075 / 1MNot applicable$1.40 / 1M
Cache Read$0.75 / 1M$0.075 / 1MNot applicable$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoYes
JSON ModeYesYesYesYes
StreamingYesYesNoYes
Catalogue
ProviderGoogleZ.AIOpenAIZ.AI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
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.Whisper (whisper-1) is OpenAI's open-source automatic speech recognition (ASR) model, designed for audio transcription and translation. It supports 50+ languages and processes audio files up to 25 MB, accepting formats such as mp3, mp4, wav, and webm. Optimized for reliable speech-to-text conversion across diverse audio inputs, Whisper is priced per minute of audio, billed to the nearest second, making it well suited for transcription, localization, and voice-driven applications.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.