NVIDIA Nemotron 3.5 Lightning 30B A3B vs Qwen3 VL Plus
At a Glance
| Compare | Qwen3 VL PlusQwen | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,049K | 262K |
| 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 | Qwen3 VL Plus |
|---|---|---|
| Developer | NVIDIA | Qwen |
| Family | Nvidia Nemotron 3 5 Lightning | Qwen3 VL |
| Model | NVIDIA Nemotron 3.5 Lightning 30B-A3B | Qwen3 VL Plus |
| Version | NVIDIA Nemotron 3.5 Lightning 30B-A3B | Qwen3 VL Plus |
| Lifecycle | active | active |
| Released | 2026-08-11 | 2025-12-19 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| 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) | Alibaba Cloud Model Studio (Standard) |
| Capabilities | agents, chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools, vision |
NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities
Qwen3 VL Plus Capabilities
Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3.5 Lightning 30B A3B vs Qwen3 VL Plus FAQs
Is NVIDIA Nemotron 3.5 Lightning 30B A3B or Qwen3 VL Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3.5 Lightning 30B A3B and Qwen3 VL Plus, 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 Qwen3 VL Plus?+
Only Qwen3 VL Plus has a directly sourced input price: $1.00 per million tokens. Only Qwen3 VL Plus has a directly sourced output price: $10.00 per million tokens.
Which has a larger context window, NVIDIA Nemotron 3.5 Lightning 30B A3B or Qwen3 VL Plus?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has the larger sourced context window. NVIDIA Nemotron 3.5 Lightning 30B A3B supports 1,049K and Qwen3 VL Plus supports 262K.
Which performs better in benchmarks, NVIDIA Nemotron 3.5 Lightning 30B A3B or Qwen3 VL Plus?+
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 Qwen3 VL Plus 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; Qwen3 VL Plus is not marked open weight.
Can NVIDIA Nemotron 3.5 Lightning 30B A3B and Qwen3 VL Plus understand images?+
NVIDIA Nemotron 3.5 Lightning 30B A3B is not documented with image input; Qwen3 VL Plus 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 Qwen3 VL Plus?+
Neither has a larger sourced maximum output. NVIDIA Nemotron 3.5 Lightning 30B A3B is — and Qwen3 VL Plus is —.
Do NVIDIA Nemotron 3.5 Lightning 30B A3B and Qwen3 VL Plus support reasoning and tool use?+
NVIDIA Nemotron 3.5 Lightning 30B A3B: reasoning and tool calling. Qwen3 VL Plus: 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 Qwen3 VL Plus?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has 1 sourced provider route; Qwen3 VL Plus has 1, a tie.
Which offers better value, NVIDIA Nemotron 3.5 Lightning 30B A3B or Qwen3 VL Plus?+
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.