Gemini 4 Argon vs Nemotron 3.5 Super VL (120B A12B)
Gemini 4 Argon leads the LLM Stats Score 55.0 to 35.0. Nemotron 3.5 Super VL (120B A12B) is 10.0x cheaper per token.
Google · NVIDIA · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.0 to 35.0, ranking #4 overall.
On price, Nemotron 3.5 Super VL (120B A12B) is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 4 Argon also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- overall performance matters — it scores 55.0 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
Choose Nemotron 3.5 Super VL (120B A12B)
- cost matters — it's about 10.0x cheaper per token
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 19 for Nemotron 3.5 Super VL (120B A12B)
Gemini 4 Argon and Nemotron 3.5 Super VL (120B A12B)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 4 Argon ($2.00/1M tokens) is 10.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 10.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Nemotron 3.5 Super VL (120B A12B).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 4 Argon accepts 1,048,576 input tokens compared to Nemotron 3.5 Super VL (120B A12B)'s 262,144 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Nemotron 3.5 Super VL (120B A12B) is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
Nemotron 3.5 Super VL (120B A12B)
License
Usage and distribution terms
Gemini 4 Argon is licensed under a proprietary license, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.
Nemotron 3.5 Super VL (120B A12B) is 1 month newer than Gemini 4 Argon.
Sep 30, 2026
2 weeks ago
Oct 15, 2026
4 days ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemini 4 Argon is available from Google. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.
Gemini 4 Argon
Nemotron 3.5 Super VL (120B A12B)
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Nemotron 3.5 Super VL (120B A12B).
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