AI Models · Open-Source vs Paid

Nemotron 3 Ultra Open vs GPT-5.6 Luna Paid

Nemotron 3 Ultra vs GPT-5.6 Luna 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 · olud.ai

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

Choose Nemotron 3 Ultra 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-5.6 Luna if you want frontier capability through a managed API with zero infrastructure to run.

Nemotron 3 Ultra vs GPT-5.6 Luna specs

SpecNemotron 3 UltraGPT-5.6 Luna
MakerNVIDIAOpenAI
TypeOpen-weightProprietary
Context window512K tokens1.1M tokens
Input price$0.6/M · free self-host$0.5/M
Output price$3.6/M · free self-host$3/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseNVIDIA Open ModelProprietary

Feature comparison

CapabilityNemotron 3 UltraGPT-5.6 Luna
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Nemotron 3 Ultra vs GPT-5.6 Luna

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

Nemotron 3 Ultra
GPT-5.6 Luna
Intelligence index
37.8
51.2
Coding index
49.3
71.4
GPQA
86.7%
91.1%
Humanity's Last Exam
26.6%
37.2%
Long Context Reasoning
67%
74%
SciCode
39.9%
52.5%
IFBench
81.4%
τ²-Bench
83.3%
τ-Bench Banking
13.8%
27.2%
Terminal-Bench
53.9%
80.9%
Terminal-Bench Hard
36.4%
Speed
199.6 tok/s
202.4 tok/s
Latency
0.92s
73.7s
Intelligence per $
32.2
22.8

Benchmark data by Artificial Analysis.

How Nemotron 3 Ultra and GPT-5.6 Luna score

🏆 Best value & openness: Nemotron 3 Ultra (4.4 vs 3.3 / 5)
CriterionNemotron 3 UltraGPT-5.6 Luna
Cost-efficiency4.04.0
Context window4.55.0
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 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-5.6 Luna Paid

OpenAI · Proprietary

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

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 Ultra (free)Nemotron 3 SuperNemotron 3 Super (free)Nemotron 3 Nano Omni (free)Nemotron 3 Nano 30B A3BNemotron 3 Nano 30B A3B (free)Nemotron Nano 12B 2 VL (free)Nemotron Nano 9B V2 (free)Nemotron 3.5 Content Safety (free)

Frequently asked questions

Is Nemotron 3 Ultra as good as GPT-5.6 Luna?

Nemotron 3 Ultra is open-weight and competitive on many tasks, but GPT-5.6 Luna 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 locally?

Yes. Nemotron 3 Ultra has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-5.6 Luna is API-only and cannot be self-hosted.

Nemotron 3 Ultra vs GPT-5.6 Luna — which should I pick in 2026?

Choose Nemotron 3 Ultra 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-5.6 Luna if you want frontier capability through a managed API with zero infrastructure to run.

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