AI Models · Open-Source vs Paid

Nemotron 3 Ultra (free) Open vs GPT-4o-mini Paid

Nemotron 3 Ultra (free) vs GPT-4o-mini 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 GPT-4o-mini if you want frontier capability through a managed API with zero infrastructure to run.

Nemotron 3 Ultra (free) vs GPT-4o-mini specs

SpecNemotron 3 Ultra (free)GPT-4o-mini
MakerNVIDIAOpenAI
TypeOpen-weightProprietary
Context window1M tokens128K tokens
Input priceFree/M · free self-host$0.15/M
Output priceFree/M · free self-host$0.6/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseNVIDIA Open ModelProprietary

Feature comparison

CapabilityNemotron 3 Ultra (free)GPT-4o-mini
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Nemotron 3 Ultra (free) vs GPT-4o-mini

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

Nemotron 3 Ultra (free)
GPT-4o-mini
Intelligence index
6.9
Coding index
11.4
Math index
14.7
GPQA
42.6%
MMLU-Pro
64.8%
Humanity's Last Exam
4%
LiveCodeBench
23.4%
SciCode
22.9%
MATH-500
78.9%
AIME
11.7%
AIME 2025
14.7%
IFBench
31%
τ-Bench Banking
2.9%
Terminal-Bench
5.6%
Speed
90.9 tok/s
Latency
0.55s
Intelligence per $
26.3

Benchmark data by Artificial Analysis.

How Nemotron 3 Ultra (free) and GPT-4o-mini score

🏆 Best value & openness: Nemotron 3 Ultra (free) (4.7 vs 3.2 / 5)
CriterionNemotron 3 Ultra (free)GPT-4o-mini
Cost-efficiency5.05.0
Context window5.03.5
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...

GPT-4o-mini Paid

OpenAI · Proprietary

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

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)

Frequently asked questions

Is Nemotron 3 Ultra (free) as good as GPT-4o-mini?

Nemotron 3 Ultra (free) is open-weight and competitive on many tasks, but GPT-4o-mini 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. GPT-4o-mini is API-only and cannot be self-hosted.

Nemotron 3 Ultra (free) vs GPT-4o-mini — 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 GPT-4o-mini if you want frontier capability through a managed API with zero infrastructure to run.

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