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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. GPT-6 AstraOpenAIRemove
  4. Whisper 1OpenAIRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs glm-5.3-flash vs gpt-6-astra vs whisper-1
AttributeGemini 3.8 Flashgemini-3.8-flashGLM 5.3 Flashglm-5.3-flashGPT-6 Astragpt-6-astraWhisper 1whisper-1
Pricing
Input$0.75 / 1M$0.075 / 1M$10.00 / 1M$75.00 / 1M
Output$3.75 / 1M$0.25 / 1M$50.00 / 1M$75.00 / 1M
Cache Write (5m)$0.75 / 1M$0.075 / 1M$10.00 / 1MNot applicable
Cache Write (1h)$0.75 / 1M$0.075 / 1M$10.00 / 1MNot applicable
Cache Read$0.75 / 1M$0.075 / 1M$10.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesYes
StreamingYesYesYesNo
Catalogue
ProviderGoogleZ.AIOpenAIOpenAI
Categorychatchatchatvoice
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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.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.