Pixtral Large vs NVIDIA Nemotron 3.5 Lightning 30B A3B
At a Glance
| Compare |  Pixtral LargeMistral AI | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 1,049K |
| Model facts checked | Aug 29, 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 | Pixtral Large | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
|---|---|---|
| Developer | Mistral AI | NVIDIA |
| Family | Pixtral Large | Nvidia Nemotron 3 5 Lightning |
| Model | Pixtral Large | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Version | Pixtral Large | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Lifecycle | deprecated | active |
| Released | 2024-11-18 | 2026-08-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Document | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | Unknown | 30B |
| Active parameters | Unknown | 3B |
| License | Unknown | openmdw-1.1 |
| Open weights | No | Yes |
| API available | No | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Fireworks Ai (Standard) |
| Capabilities | chat, generation, structured_outputs, tools, vision | agents, chat, generation, reasoning, tools |
Pixtral Large Capabilities
NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Pixtral Large vs NVIDIA Nemotron 3.5 Lightning 30B A3B FAQs
Is Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Pixtral Large and NVIDIA Nemotron 3.5 Lightning 30B A3B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has the larger sourced context window. Pixtral Large supports 131K and NVIDIA Nemotron 3.5 Lightning 30B A3B supports 1,049K.
Which performs better in benchmarks, Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B be self-hosted?+
NVIDIA Nemotron 3.5 Lightning 30B A3B is the only model in this pair currently marked as self-hostable. Pixtral Large is not marked open weight; NVIDIA Nemotron 3.5 Lightning 30B A3B is open weight.
Can Pixtral Large and NVIDIA Nemotron 3.5 Lightning 30B A3B understand images?+
Pixtral Large is documented with image input; NVIDIA Nemotron 3.5 Lightning 30B A3B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Neither has a larger sourced maximum output. Pixtral Large is — and NVIDIA Nemotron 3.5 Lightning 30B A3B is —.
Do Pixtral Large and NVIDIA Nemotron 3.5 Lightning 30B A3B support reasoning and tool use?+
Pixtral Large: tool calling and image input. NVIDIA Nemotron 3.5 Lightning 30B A3B: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Pixtral Large has 0 sourced provider routes; NVIDIA Nemotron 3.5 Lightning 30B A3B has 1, so NVIDIA Nemotron 3.5 Lightning 30B A3B has broader tracked availability.
Which offers better value, Pixtral Large or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
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.