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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. Gemini 4 ArgonGoogleRemove
  3. GLM 5.3Z.AIRemove
  4. Claude Fable 5.1AnthropicRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs gemini-4-argon vs glm-5.3 vs claude-fable-5.1
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGemini 4 Argongemini-4-argonGLM 5.3glm-5.3Claude Fable 5.1claude-fable-5.1
Pricing
Input— Not priced per input token$2.00 / 1M$1.40 / 1M$10.00 / 1M
Output— Not priced per output token$10.00 / 1M$4.40 / 1M$50.00 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$1.40 / 1M$12.50 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$1.40 / 1M$20.00 / 1M
Cache ReadNot applicable$2.00 / 1M$1.40 / 1M$0.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleGoogleZ.AIAnthropic
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.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 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.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.