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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. Gemini 4 ArgonGoogleRemove
  2. Nemotron 3.5 Super VLNVIDIARemove
  3. Claude Fable 5.2AnthropicRemove
  4. Veo 3GoogleRemove

4 is the maximum. Remove one to add another.

gemini-4-argon vs nemotron-3.5-super-vl vs claude-fable-5.2 vs veo3
AttributeGemini 4 Argongemini-4-argonNemotron 3.5 Super VLnemotron-3.5-super-vlClaude Fable 5.2claude-fable-5.2Veo 3veo3
Pricing
Input$2.00 / 1M$0.10 / 1M$8.00 / 1M—
Output$10.00 / 1M$0.40 / 1M$40.00 / 1M—
Cache Write (5m)$2.00 / 1M$0.10 / 1M$10.00 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.10 / 1M$16.00 / 1MNot applicable
Cache Read$2.00 / 1M$0.10 / 1M$0.20 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M—
Request———$1.26 / request
Billing———Pay Per Request
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderGoogleNVIDIAAnthropicGoogle
Categorychatchatchatvideo
Charge typePay As You GoPay As You GoPay As You GoPay Per Request
Released————
Description
SummaryGemini 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.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.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.—