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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. mai-ds-r1:freeNot in the catalogueRemove
  2. Transcribe 1 ProFish AudioRemove
  3. Nemotron 3.5 Super VLNVIDIARemove
mai-ds-r1:free vs transcribe-1-pro vs nemotron-3.5-super-vl
Attributemai-ds-r1:freeNot in the catalogueTranscribe 1 Protranscribe-1-proNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input—— Not priced per input token$0.10 / 1M
Output—— Not priced per output token$0.40 / 1M
Cache Write (5m)—Not applicable$0.10 / 1M
Cache Write (1h)—Not applicable$0.10 / 1M
Cache Read—Not applicable$0.10 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context—N/A1M
Max output—N/AN/A
Capabilities
Vision—NoYes
Function Calling—NoYes
JSON Mode—NoYes
Streaming—NoYes
Catalogue
Provider—Fish AudioNVIDIA
Category—voicechat
Charge type—Pay As You GoPay As You Go
Released—2026-09-24—
Description
Summary—Fish 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.