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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. S1Fish AudioRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
  3. Gemini 4 CarbonGoogleRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

s1 vs nemotron-3.5-super-vl:free vs gemini-4-carbon vs gemini-4-argon
AttributeS1s1Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeGemini 4 Carbongemini-4-carbonGemini 4 Argongemini-4-argon
Pricing
Input— Not priced per input token$0 / 1M$2.00 / 1M$2.00 / 1M
Output— Not priced per output token$0 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)Not applicable—$2.00 / 1M$2.00 / 1M
Cache Write (1h)Not applicable—$2.00 / 1M$2.00 / 1M
Cache ReadNot applicable$0 / 1M$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Cache Write—$0 / 1M——
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderFish AudioNVIDIAGoogleGoogle
Categoryvoicechatchatchat
Charge typePay As You GoFreePay As You GoPay As You Go
Released2026-07-29———
Description
SummaryFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.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.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.