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Head-to-head comparison

Nemotron 3.5 Lightning vs GPT-5.5 Pro

Nemotron 3.5 Lightning (NVIDIA) and GPT-5.5 Pro (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, GPT-5.5 Pro holds the stronger ModelCap Index position (#76 vs #79); and Nemotron 3.5 Lightning is 900× cheaper per output token ($0.20/1M vs $180/1M).

Which should you choose?

Choose Nemotron 3.5 Lightning if…

  • API cost matters — $0.20/1M output tokens against $180/1M, about 900× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.08/1M against $30.00/1M.
  • you want provider choice — 3 listed API providers against 1.
  • you want the more recently listed model — Nemotron 3.5 Lightning was listed 11 August 2026, GPT-5.5 Pro 24 April 2026.

Choose GPT-5.5 Pro if…

  • you want the stronger overall ModelCap Index position — #76 against #79 (35.2 vs 31.7 points).

Nemotron 3.5 Lightning vs GPT-5.5 Pro: specs, pricing and context

Specification comparison of Nemotron 3.5 Lightning and GPT-5.5 Pro
FieldNemotron 3.5 LightningNVIDIAGPT-5.5 ProOpenAI
ModelCap Index position#79#76
Index score31.735.2
EvidenceMeasuredMeasured
Input price / 1M tokens$0.08$30.00
Output price / 1M tokens$0.20$180
Context window1M tokens1M tokens
Max output tokens131K128K
API providers listed31
Weight accessRestricted licenseAPI only
Input modalitiesTextFile, Image, Text
First listed11 August 202624 April 2026
PublisherNVIDIAOpenAI

Evidence: 1 public benchmark observation across 1 board · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Nemotron 3.5 Lightning vs GPT-5.5 Pro

Public benchmark boards where Nemotron 3.5 Lightning or GPT-5.5 Pro has a published result
BoardNemotron 3.5 LightningGPT-5.5 ProLeads
ARC-AGI-2ARC Prize Foundation84.6%HighOnly one result
Artificial Analysis Intelligence IndexArtificial Analysis23.6intelligence-indexOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Nemotron 3.5 Lightning vs GPT-5.5 Pro: common questions

Is Nemotron 3.5 Lightning better than GPT-5.5 Pro?

GPT-5.5 Pro ranks higher on the ModelCap Index as of 17 August 2026: #76 against #79. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Nemotron 3.5 Lightning cheaper than GPT-5.5 Pro?

Nemotron 3.5 Lightning is cheaper on output tokens: $0.20/1M against $180/1M. Input tokens are $0.08/1M for Nemotron 3.5 Lightning and $30.00/1M for GPT-5.5 Pro. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Nemotron 3.5 Lightning or GPT-5.5 Pro?

Both publish a 1M-token context window.

Which is better for coding, Nemotron 3.5 Lightning or GPT-5.5 Pro?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Nemotron 3.5 Lightning and GPT-5.5 Pro open-weight models?

Nemotron 3.5 Lightning: Restricted license. GPT-5.5 Pro: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Nemotron 3.5 Lightning and GPT-5.5 Pro?

ModelCap currently lists 3 API providers for Nemotron 3.5 Lightning and 1 for GPT-5.5 Pro, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Nemotron 3.5 Lightning vs GPT-5.5 Pro comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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