NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs Qwen3 VL Flash
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | Qwen3 VL Flash |
|---|---|---|
| Developer | NVIDIA | Qwen |
| Family | Nvidia Nemotron 3 Ultra 550b A55b Bf16 | Qwen3 VL |
| Model | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | Qwen3 VL Flash |
| Version | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | Qwen3 VL Flash |
| Lifecycle | active | active |
| Released | 2026-06-04 | 2026-01-22 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 560.5B | Unknown |
| Active parameters | 55B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Alibaba Cloud Model Studio (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools, vision |
14 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities
Qwen3 VL Flash Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs Qwen3 VL Flash FAQs
Is NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Qwen3 VL Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $0.50 and Qwen3 VL Flash is $0.15 per million tokens, so Qwen3 VL Flash is cheaper on this metric. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $2.20 and Qwen3 VL Flash is $1.50 per million tokens, so Qwen3 VL Flash is cheaper on this metric.
Which has a larger context window, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash?+
Neither model has a larger sourced context window in this comparison. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is 262K and Qwen3 VL Flash is 262K.
Which performs better in benchmarks, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash be self-hosted?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight; Qwen3 VL Flash is not marked open weight.
Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Qwen3 VL Flash understand images?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 is not documented with image input; Qwen3 VL Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash?+
Neither has a larger sourced maximum output. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is — and Qwen3 VL Flash is —.
Do NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Qwen3 VL Flash support reasoning and tool use?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. Qwen3 VL Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3 sourced provider routes; Qwen3 VL Flash has 1, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 has broader tracked availability.
Which offers better value, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Qwen3 VL Flash?+
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.