NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 vs Inkling
Why this pair: Large open-weight mixture-of-experts models with controllable reasoning
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | Inkling |
|---|---|---|
| Developer | NVIDIA | Thinking Machines Lab |
| Family | Nvidia Nemotron 3 Ultra 550b A55b Bf16 | Inkling |
| Model | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | Inkling |
| Version | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | Inkling |
| Lifecycle | active | active |
| Released | 2026-06-04 | 2026-07-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 262,144 | 1,048,576 |
| Total parameters | 560,524,578,816 | 975,000,000,000 |
| Active parameters | 55,000,000,000 | 41,000,000,000 |
| License | other | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, coding, generation, reasoning, tools, vision |
16 comparable fields · 12 material differences · Editorially curated pair passes the primary-source comparison gate
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 Capabilities
Inkling Capabilities
Internal Comparison Graph
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|---|---|---|---|
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| vs | family variantstext | ||
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Primary Evidence
Sources and Freshness
Questions
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 vs Inkling FAQs
Is NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 and Inkling, 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 Inkling?+
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is $0.50 and Inkling is $0.95 per million tokens, so NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is cheaper on this metric. NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is $2.20 and Inkling is $4.05 per million tokens, so NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is cheaper on this metric.
Which has a larger context window, NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 or Inkling?+
Inkling has the larger sourced context window. NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 supports 262,144 and Inkling supports 1,048,576.
Which performs better in benchmarks, NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 or Inkling?+
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 Inkling be self-hosted?+
Both models have the same recorded self-hosting status: supported. NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is open weight; Inkling is open weight.
Can NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 and Inkling understand images?+
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is not documented with image input; Inkling 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 Inkling?+
Neither has a larger sourced maximum output. NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 is — and Inkling is —.
Do NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 and Inkling support reasoning and tool use?+
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16: reasoning and tool calling. Inkling: 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 Inkling?+
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 has 3 sourced provider routes; Inkling has 4, so Inkling has broader tracked availability.
Which offers better value, NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 or Inkling?+
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.