Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)
This page compares Gemini 3 Pro (Google) and NVIDIA: Nemotron Nano 12B 2 VL (free) (nvidia) using the latest snapshots we have as of Aug 16, 2026. NVIDIA: Nemotron Nano 12B 2 VL (free) wins on output price at $0/1M. Gemini 3 Pro has the larger context window (2M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
Google frontier multimodal model with a multi-million-token context window.
nvidia
NVIDIA: Nemotron Nano 12B 2 VL (free)Auto-discovered from OpenRouter (nvidia/nemotron-nano-12b-v2-vl:free). Preview until a second source matches.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
No shared data
No shared data
$5.00/1M cheaper
Need SWE-bench on both sides.
Lower output list price ($0/1M).
Need TTFT on both sides.
Larger window (2M).
Gemini 3 Pro is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | NVIDIA: Nemotron Nano 12B 2 VL (free) | Lower output list price ($0/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Gemini 3 Pro | Larger window (2M). |
| Screenshots / vision | Gemini 3 Pro | Gemini 3 Pro is the side marked multimodal in the catalog. |
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The real PNG is generated at /compare/gemini-3-pro-vs-nemotron-nano-12b-v2-vl-free/opengraph-image for crawlers.
Verified head-to-head card
