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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. Gemini 4 ArgonGoogleRemove
  3. GLM 5Z.AIRemove
gemini-3.5-transcribe vs gemini-4-argon vs glm-5
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGemini 4 Argongemini-4-argonGLM 5glm-5
Pricing
Input— Not priced per input token$2.00 / 1M$0.60 / 1M
Output— Not priced per output token$10.00 / 1M$2.20 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.60 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.60 / 1M
Cache ReadNot applicable$2.00 / 1M$0.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M202.8K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleGoogleZ.AI
Categoryvoicechatchat
Charge typePay 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.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 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.