AI Models · Open-Source vs Paid

Nemotron 3 Ultra (free) Open vs Gemini 3.5 Flash Paid

Nemotron 3 Ultra (free) vs Gemini 3.5 Flash 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 3.5 Flash if you want frontier capability through a managed API with zero infrastructure to run.

Nemotron 3 Ultra (free) vs Gemini 3.5 Flash specs

SpecNemotron 3 Ultra (free)Gemini 3.5 Flash
MakerNVIDIAGoogle
TypeOpen-weightProprietary
Context window1M tokens1M tokens
Input priceFree/M · free self-host$1.5/M
Output priceFree/M · free self-host$9/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseNVIDIA Open ModelProprietary

Feature comparison

CapabilityNemotron 3 Ultra (free)Gemini 3.5 Flash
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Nemotron 3 Ultra (free) vs Gemini 3.5 Flash

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

Nemotron 3 Ultra (free)
Gemini 3.5 Flash
Intelligence index
50.2
Coding index
70.1
GPQA
92.2%
Humanity's Last Exam
41%
Long Context Reasoning
69.3%
SciCode
53.1%
IFBench
76.3%
τ²-Bench
95.3%
τ-Bench Banking
25.4%
Terminal-Bench
78.7%
Terminal-Bench Hard
40.9%
Speed
293.7 tok/s
Latency
12.74s
Intelligence per $
14.9

Benchmark data by Artificial Analysis.

How Nemotron 3 Ultra (free) and Gemini 3.5 Flash score

🏆 Best value & openness: Nemotron 3 Ultra (free) (4.7 vs 3.2 / 5)
CriterionNemotron 3 Ultra (free)Gemini 3.5 Flash
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 3.5 Flash Paid

Google · Proprietary

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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 3 Flash PreviewGemini 2.5 Flash

Frequently asked questions

Is Nemotron 3 Ultra (free) as good as Gemini 3.5 Flash?

Nemotron 3 Ultra (free) is open-weight and competitive on many tasks, but Gemini 3.5 Flash 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 3.5 Flash is API-only and cannot be self-hosted.

Nemotron 3 Ultra (free) vs Gemini 3.5 Flash — 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 3.5 Flash if you want frontier capability through a managed API with zero infrastructure to run.

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