Command A Translate vs NVIDIA Nemotron 3.5 Lightning 30B A3B
At a Glance
| Compare |  Command A TranslateCohere | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 8K | 1,049K |
| 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 | Command A Translate | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
|---|---|---|
| Developer | Cohere | NVIDIA |
| Family | Command A | Nvidia Nemotron 3 5 Lightning |
| Model | Command A Translate | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Version | Command A Translate | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Lifecycle | active | active |
| Released | 2025-08-28 | 2026-08-11 |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 8K | 1,049K |
| Total parameters | 111B | 30B |
| Active parameters | Unknown | 3B |
| License | Unknown | openmdw-1.1 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Cohere (Standard) | Fireworks Ai (Standard) |
| Capabilities | chat, generation, structured_outputs, translation | agents, chat, generation, reasoning, tools |
Command A Translate Capabilities
NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Command A Translate vs NVIDIA Nemotron 3.5 Lightning 30B A3B FAQs
Is Command A Translate or NVIDIA Nemotron 3.5 Lightning 30B A3B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A Translate 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, Command A Translate 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, Command A Translate or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has the larger sourced context window. Command A Translate supports 8K and NVIDIA Nemotron 3.5 Lightning 30B A3B supports 1,049K.
Which performs better in benchmarks, Command A Translate 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 Command A Translate 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. Command A Translate is not marked open weight; NVIDIA Nemotron 3.5 Lightning 30B A3B is open weight.
Can Command A Translate and NVIDIA Nemotron 3.5 Lightning 30B A3B understand images?+
Command A Translate is not 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, Command A Translate or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Neither has a larger sourced maximum output. Command A Translate is 8K and NVIDIA Nemotron 3.5 Lightning 30B A3B is —.
Do Command A Translate and NVIDIA Nemotron 3.5 Lightning 30B A3B support reasoning and tool use?+
Command A Translate: none of these features are definitively sourced. 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, Command A Translate or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Command A Translate has 1 sourced provider route; NVIDIA Nemotron 3.5 Lightning 30B A3B has 1, a tie.
Which offers better value, Command A Translate 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.