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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. Transcribe 1 ProFish AudioRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs gemini-4-argon vs gemini-3.8-flash vs glm-5.3
AttributeTranscribe 1 Protranscribe-1-proGemini 4 Argongemini-4-argonGemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3
Pricing
Input— Not priced per input token$2.00 / 1M$0.75 / 1M$1.40 / 1M
Output— Not priced per output token$10.00 / 1M$3.75 / 1M$4.40 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.75 / 1M$1.40 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.75 / 1M$1.40 / 1M
Cache ReadNot applicable$2.00 / 1M$0.75 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderFish AudioGoogleGoogleZ.AI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-24———
Description
SummaryFish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.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.Gemini 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 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.