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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. Hy4 previewTencentRemove
  3. Gemini 4 ArgonGoogleRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs hy4-preview vs gemini-4-argon vs glm-5.3-flash
AttributeGemini 3.5 Transcribegemini-3.5-transcribeHy4 previewhy4-previewGemini 4 Argongemini-4-argonGLM 5.3 Flashglm-5.3-flash
Pricing
Input— Not priced per input token$0.834 / 1M$2.00 / 1M$0.075 / 1M
Output— Not priced per output token$2.50 / 1M$10.00 / 1M$0.25 / 1M
Cache Write (5m)Not applicable$0.834 / 1M$2.00 / 1M$0.075 / 1M
Cache Write (1h)Not applicable$0.834 / 1M$2.00 / 1M$0.075 / 1M
Cache ReadNot applicable$0.834 / 1M$2.00 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleTencentGoogleZ.AI
Categoryvoicechatchatchat
Charge typePay As You GoPay 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.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.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.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.