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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 ArgonGoogleRemove
  4. Claude Fable 5.2AnthropicRemove

4 is the maximum. Remove one to add another.

s1 vs nemotron-3.5-super-vl:free vs gemini-4-argon vs claude-fable-5.2
AttributeS1s1Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeGemini 4 Argongemini-4-argonClaude Fable 5.2claude-fable-5.2
Pricing
Input— Not priced per input token$0 / 1M$2.00 / 1M$8.00 / 1M
Output— Not priced per output token$0 / 1M$10.00 / 1M$40.00 / 1M
Cache Write (5m)Not applicable—$2.00 / 1M$10.00 / 1M
Cache Write (1h)Not applicable—$2.00 / 1M$16.00 / 1M
Cache ReadNot applicable$0 / 1M$2.00 / 1M$0.20 / 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 AudioNVIDIAGoogleAnthropic
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 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.Claude Fable 5.2 is Anthropic's most capable model for advanced technical work and open-ended problem solving, delivering significant improvements in coding, reasoning, and vision over Fable 5.1. It excels at exceptionally complex tasks, including large-scale software migrations, electronic system design, and advanced scientific and mathematical research. With up to 30% faster output generation, clearer communication, and always-on adaptive extended thinking, Fable 5.2 supports configurable reasoning effort from low to max (default high), with thinking preserved across turns. Designed for frontier engineering, scientific discovery, and ambitious long-horizon agentic workflows, it complements Opus 5.5 as a specialized option for the most demanding technical challenges.