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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. Nemotron 3 Super (Free)NVIDIARemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Transcribe 1 ProFish AudioRemove
nemotron-3-super-120b-a12b:free vs gemini-3.5-transcribe vs transcribe-1-pro
AttributeNemotron 3 Super (Free)nemotron-3-super-120b-a12b:freeGemini 3.5 Transcribegemini-3.5-transcribeTranscribe 1 Protranscribe-1-pro
Pricing
Input$0 / 1M— Not priced per input token— Not priced per input token
Output$0 / 1M— Not priced per output token— Not priced per output token
Cache Write$0 / 1M——
Cache Read$0 / 1MNot applicableNot applicable
Cache Write (5m)—Not applicableNot applicable
Cache Write (1h)—Not applicableNot applicable
Web Search—$0 / 1M$0 / 1M
Context
Max context262.1K98.3KN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderNVIDIAGoogleFish Audio
Categorychatvoicevoice
Charge typeFreePay As You GoPay As You Go
Released—2026-09-252026-09-24
Description
SummaryNVIDIA Nemotron 3 Super is a 120B-parameter open hybrid Mixture-of-Experts model designed for complex multi-agent and long-horizon reasoning workflows. It activates only 12B parameters per token, enabling high compute efficiency while maintaining strong accuracy on advanced tasks. Built on a hybrid Mamba–Transformer MoE architecture with multi-token prediction (MTP), the model delivers significantly higher token generation throughput than leading open models. It supports a 1M-token context window for long-context reasoning, cross-document analysis, and multi-step task planning. Trained with multi-environment reinforcement learning across diverse benchmarks—including AIME 2025, TerminalBench, and SWE-Bench Verified—Nemotron 3 Super achieves strong performance across reasoning and coding tasks. Released fully open with weights, datasets, and training recipes, it supports flexible customization and secure deployment from local workstations to cloud environments.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.