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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. Transcribe 1 ProFish AudioRemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. Nemotron 3.5 Super VL (Free)NVIDIARemove
transcribe-1-pro vs mai-ds-r1:free vs nemotron-3.5-super-vl:free
AttributeTranscribe 1 Protranscribe-1-promai-ds-r1:freeNot in the catalogueNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free
Pricing
Input— Not priced per input token—$0 / 1M
Output— Not priced per output token—$0 / 1M
Cache Write (5m)Not applicable——
Cache Write (1h)Not applicable——
Cache ReadNot applicable—$0 / 1M
Web Search$0 / 1M——
Cache Write——$0 / 1M
Context
Max contextN/A—1M
Max outputN/A—N/A
Capabilities
VisionNo—Yes
Function CallingNo—Yes
JSON ModeNo—Yes
StreamingNo—Yes
Catalogue
ProviderFish Audio—NVIDIA
Categoryvoice—chat
Charge typePay As You Go—Free
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.—NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.