Model comparison
Gemini 4 Argon and Nemotron 3.5 Super VL compared on price, context window, capabilities and published benchmarks. Data comes from the OpenModels registry.
| Specification | Gemini 4 Argon | Nemotron 3.5 Super VL |
|---|---|---|
| Developer | Nvidia | |
| Released | Oct 1, 2026 | Oct 15, 2026 |
| Context window | 1.05M tokens | 1.05M tokens |
| Input price / 1M | $2.00via Google AI Studio | $0.15via OpenRouter |
| Output price / 1M | $10.00via Google AI Studio | $0.50via OpenRouter |
| Providers | 2 | 1 |
| License | proprietary | other |
| Input modalities | audio, code, image, text, video | code, image, text, video |
| Capabilities | chat, completion, function-calling, vision, audio, code-generation, reasoning | chat, completion, function-calling, vision, code-generation, reasoning |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
Only benchmarks with a published score for at least one of the two models are shown. Published scores with their sources. Vendor-reported results use the vendor's own evaluation settings and are not directly comparable across vendors.
| Benchmark | Gemini 4 Argon | Nemotron 3.5 Super VL |
|---|---|---|
| Artificial Analysis Intelligence Index | 53Artificial Analysis · Independent | — |
| AutomationBench | 51.3%Google (via Help Net Security) · Vendor-reported | — |
| CWE-bench | 68%Google (via Help Net Security) · Vendor-reported | — |
| DeepSWE 1.1 | 77.9% · Vendor-reported |
| — |
| LVBench | 91.7%Google (via Help Net Security) · Vendor-reported | — |
|---|