NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs Bonsai 27B

At a Glance

Compare
Bonsai 27BPrismML
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimate#19 of 44$0.092 per LiveBench caseUnrankedNot in the 44-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.50Openrouter · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$2.20Openrouter · Aug 29, 2026Not reported
Context windowMaximum documented tokens262K262K
Model facts checkedAug 28, 2026View model evidence →Sep 18, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16Bonsai 27B
DeveloperNVIDIAPrismML
FamilyNvidia Nemotron 3 Ultra 550b A55b Bf16Bonsai 27b
ModelNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16Bonsai 27B
VersionNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16Bonsai 27B
Lifecycleactiveactive
Released2026-06-042026-07-04
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K262K
Total parameters560.5B27B
Active parameters55BUnknown
Licenseotherapache-2.0
Open weightsYesYes
API availableYesNo
Self-hostableYesYes
Provider accessFireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)Unknown
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools, vision
Base modelUnknownQwen3.6 27B
Effective bit widthUnknown1 bit per weight
Language model sizeUnknown3.53 GiB
Weight formatUnknownBinary Q1_0

NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDnvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16

Bonsai 27B Capabilities

chatgenerationreasoningtoolsvision
Serving providers0
Canonical IDprism-ml/Bonsai-27B

Primary Evidence

Sources and Freshness

Questions

NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs Bonsai 27B FAQs

Is NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Bonsai 27B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Bonsai 27B, 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 Bonsai 27B?+

Only NVIDIA Nemotron 3 Ultra 550B A55B BF16 has a directly sourced input price: $0.50 per million tokens. Only NVIDIA Nemotron 3 Ultra 550B A55B BF16 has a directly sourced output price: $2.20 per million tokens.

Which has a larger context window, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Bonsai 27B?+

Neither model has a larger sourced context window in this comparison. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is 262K and Bonsai 27B is 262K.

Which performs better in benchmarks, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Bonsai 27B?+

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 Bonsai 27B be self-hosted?+

Both models have the same recorded self-hosting status: supported. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight; Bonsai 27B is open weight.

Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Bonsai 27B understand images?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 is not documented with image input; Bonsai 27B 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 Bonsai 27B?+

Neither has a larger sourced maximum output. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is — and Bonsai 27B is —.

Do NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Bonsai 27B support reasoning and tool use?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. Bonsai 27B: 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 Bonsai 27B?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3 sourced provider routes; Bonsai 27B has 0, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 has broader tracked availability.

Which offers better value, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Bonsai 27B?+

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.

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