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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. Whisper Large V3OpenAIRemove
  3. Hy4 previewTencentRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs whisper-large-v3 vs hy4-preview vs glm-5.3-flash
AttributeGemini 3.8 Flashgemini-3.8-flashWhisper Large V3whisper-large-v3Hy4 previewhy4-previewGLM 5.3 Flashglm-5.3-flash
Pricing
Input$0.75 / 1M$9.25 / 1M$0.834 / 1M$0.075 / 1M
Output$3.75 / 1M$0 / 1M$2.50 / 1M$0.25 / 1M
Cache Write (5m)$0.75 / 1MNot applicable$0.834 / 1M$0.075 / 1M
Cache Write (1h)$0.75 / 1MNot applicable$0.834 / 1M$0.075 / 1M
Cache Read$0.75 / 1MNot applicable$0.834 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesYesYesYes
StreamingYesNoYesYes
Catalogue
ProviderGoogleOpenAITencentZ.AI
Categorychatvoicechatchat
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.Whisper Large V3 is OpenAI's advanced open-source automatic speech recognition (ASR) model, supporting both audio transcription and translation across 99+ languages. It accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg, and delivers strong performance in noisy, real-world conditions. With 1.55B parameters and a low 10.3% word error rate, it provides accurate, multilingual transcription with support for word- and segment-level timestamps, making it well suited for high-quality, noise-robust speech processing applications.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.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.