NVIDIA Nemotron 3.5 Lightning 30B A3B vs o3-pro
At a Glance
| Compare | o3-proOpenAI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $20.00Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $80.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 200K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | NVIDIA Nemotron 3.5 Lightning 30B-A3B | o3-pro |
|---|---|---|
| Developer | NVIDIA | OpenAI |
| Family | Nvidia Nemotron 3 5 Lightning | O3 |
| Model | NVIDIA Nemotron 3.5 Lightning 30B-A3B | o3-pro |
| Version | NVIDIA Nemotron 3.5 Lightning 30B-A3B | o3-pro |
| Lifecycle | active | active |
| Released | 2026-08-11 | 2025-06-10 |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 200K |
| Total parameters | 30B | Unknown |
| Active parameters | 3B | Unknown |
| License | openmdw-1.1 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Fireworks Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities
o3-pro Capabilities
Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3.5 Lightning 30B A3B vs o3-pro FAQs
Is NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3.5 Lightning 30B A3B and o3-pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro?+
Only o3-pro has a directly sourced input price: $20.00 per million tokens. Only o3-pro has a directly sourced output price: $80.00 per million tokens.
Which has a larger context window, NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has the larger sourced context window. NVIDIA Nemotron 3.5 Lightning 30B A3B supports 1,049K and o3-pro supports 200K.
Which performs better in benchmarks, NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro be self-hosted?+
NVIDIA Nemotron 3.5 Lightning 30B A3B is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3.5 Lightning 30B A3B is open weight; o3-pro is not marked open weight.
Can NVIDIA Nemotron 3.5 Lightning 30B A3B and o3-pro understand images?+
NVIDIA Nemotron 3.5 Lightning 30B A3B is not documented with image input; o3-pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro?+
Neither has a larger sourced maximum output. NVIDIA Nemotron 3.5 Lightning 30B A3B is — and o3-pro is 100K.
Do NVIDIA Nemotron 3.5 Lightning 30B A3B and o3-pro support reasoning and tool use?+
NVIDIA Nemotron 3.5 Lightning 30B A3B: reasoning and tool calling. o3-pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has 1 sourced provider route; o3-pro has 2, so o3-pro has broader tracked availability.
Which offers better value, NVIDIA Nemotron 3.5 Lightning 30B A3B or o3-pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.