AI Models · Open-Source vs Paid

Nemotron 3 Ultra (free) Open vs Gemini 3.1 Pro Preview Paid

Nemotron 3 Ultra (free) vs Gemini 3.1 Pro Preview compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · OpenSourceAI.tech

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Choose Nemotron 3 Ultra (free) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

Nemotron 3 Ultra (free) vs Gemini 3.1 Pro Preview specs

SpecNemotron 3 Ultra (free)Gemini 3.1 Pro Preview
MakerNVIDIAGoogle
TypeOpen-weightProprietary
Context window1M tokens1M tokens
Input priceFree/M · free self-host$2/M
Output priceFree/M · free self-host$12/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseNVIDIA Open ModelProprietary

Feature comparison

CapabilityNemotron 3 Ultra (free)Gemini 3.1 Pro Preview
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Nemotron 3 Ultra (free) vs Gemini 3.1 Pro Preview

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Nemotron 3 Ultra (free)
Gemini 3.1 Pro Preview
Intelligence index
46.5
Coding index
68.8
GPQA
94.1%
Humanity's Last Exam
44.7%
Long Context Reasoning
72.7%
SciCode
58.9%
IFBench
77.1%
τ²-Bench
95.6%
τ-Bench Banking
16.5%
Terminal-Bench
73.8%
Terminal-Bench Hard
53.8%
Speed
137.1 tok/s
Latency
23.58s
Intelligence per $
10.3

Benchmark data by Artificial Analysis.

How Nemotron 3 Ultra (free) and Gemini 3.1 Pro Preview score

🏆 Best value & openness: Nemotron 3 Ultra (free) (4.7 vs 3.2 / 5)
CriterionNemotron 3 Ultra (free)Gemini 3.1 Pro Preview
Cost-efficiency5.03.5
Context window5.05.0
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Nemotron 3 Ultra (free) Open

NVIDIA · Open-weight

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

Gemini 3.1 Pro Preview Paid

Google · Proprietary

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation.

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Nemotron 3 Super (free)Nemotron 3 Nano 30B A3B (free)Nemotron 3 UltraNemotron 3 SuperNemotron 3 Nano Omni (free)Nemotron 3 Nano 30B A3BNemotron Nano 9B V2 (free)Nemotron Nano 12B 2 VL (free)Nemotron 3.5 Content Safety (free)
Other variants tracked
Gemini 2.5 Pro

Frequently asked questions

Is Nemotron 3 Ultra (free) as good as Gemini 3.1 Pro Preview?

Nemotron 3 Ultra (free) is open-weight and competitive on many tasks, but Gemini 3.1 Pro Preview may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Nemotron 3 Ultra (free) locally?

Yes. Nemotron 3 Ultra (free) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Gemini 3.1 Pro Preview is API-only and cannot be self-hosted.

Nemotron 3 Ultra (free) vs Gemini 3.1 Pro Preview — which should I pick in 2026?

Choose Nemotron 3 Ultra (free) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

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