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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. GLM 5Z.AIRemove
  3. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
transcribe-1-pro vs glm-5 vs gemini-3.1-flash-lite-image-vertex
AttributeTranscribe 1 Protranscribe-1-proGLM 5glm-5Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input— Not priced per input token$0.60 / 1M—
Output— Not priced per output token$2.20 / 1M—
Cache Write (5m)Not applicable$0.60 / 1MNot applicable
Cache Write (1h)Not applicable$0.60 / 1MNot applicable
Cache ReadNot applicable$0.60 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.0336 / request
Billing——Pay Per Request
Context
Max contextN/A202.8KN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderFish AudioZ.AIGoogle
Categoryvoicechatimage
Charge typePay As You GoPay As You GoPay Per Request
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.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.Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.