NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs Inkling
At a Glance
| Compare |  InklingThinking Machines Lab | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #30 of 5737.8 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 12.6–79.3 | #27 of 5747.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #14 of 27$0.092 per LiveBench case | #13 of 27$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | #24 of 2737.1 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 24.5–57.8 | #22 of 2742.0 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Aug 29, 2026 | $0.95Deepinfra ↗ · Oct 15, 2026 |
| Output priceFrom · USD / 1M tokens | $2.20Openrouter ↗ · Aug 29, 2026 | $4.05Deepinfra ↗ · Oct 15, 2026 |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Aug 28, 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
| Benchmark | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 | Inkling |
|---|---|---|
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 73.4996% of row best · percent · nemotron-3-ultra-550b-a55b · 41,654 output tokens / case | 76.47100% of row best · percent · inkling-xhigh · 22,213 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 66.6697% of row best · points · Nemotron 3 Ultra 550B (high) · 2,705 output tokens / case | 68.77100% of row best · points · Inkling (high) · 6,998 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
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 | 262K | 1,049K |
| Total parameters | 560.5B | 975B |
| Active parameters | 55B | 41B |
| License | other | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | 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 |
NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities
Inkling Capabilities
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| vs |  GLM-5Z.ai | cross-developer peerstext | |
| vs | GLM-5.1Z.ai | cross-developer peerstext | |
| vs | GLM-5.2Z.ai | cross-developer peerstext |
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 tokens and Inkling supports 1,048,576 tokens.
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 sourced 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 model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
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.