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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 3.5 Super VL (Free)NVIDIARemove
  2. S2 ProFish AudioRemove
  3. Gemini 4 CarbonGoogleRemove
nemotron-3.5-super-vl:free vs s2-pro vs gemini-4-carbon
AttributeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeS2 Pros2-proGemini 4 Carbongemini-4-carbon
Pricing
Input$0 / 1M— Not priced per input token$2.00 / 1M
Output$0 / 1M— Not priced per output token$10.00 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1MNot applicable$2.00 / 1M
Cache Write (5m)—Not applicable$2.00 / 1M
Cache Write (1h)—Not applicable$2.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderNVIDIAFish AudioGoogle
Categorychatvoicechat
Charge typeFreePay As You GoPay As You Go
Released—2026-07-29—
Description
SummaryNVIDIA 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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.Gemini 4 Carbon is Google's frontier multimodal reasoning model, designed for advanced coding, agentic workflows, and complex multi-step problem solving. It supports text, image, audio, video, and file inputs, enabling integrated reasoning and analysis across diverse modalities. Optimized for long-horizon execution and demanding professional workloads, Gemini 4 Carbon supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high) to balance reasoning depth, latency, and cost. It is well suited for autonomous agents, software engineering, multimodal analysis, and large-scale workflow automation.