NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs Bonsai Image Ternary 4B

At a Glance

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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 tokens262KNot reported
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 →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

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 Image Ternary 4B
DeveloperNVIDIAPrismML
FamilyNvidia Nemotron 3 Ultra 550b A55b Bf16Bonsai Image 4b
ModelNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16Bonsai Image Ternary 4B
VersionNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16Bonsai Image Ternary 4B
Lifecycleactiveactive
Released2026-06-042026-05-21
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextImage
Context window262KUnknown
Total parameters560.5B4B
Active parameters55BUnknown
Licenseotherapache-2.0
Open weightsYesYes
API availableYesNo
Self-hostableYesYes
Provider accessFireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)Unknown
Capabilitieschat, generation, reasoning, toolsgeneration
Base modelUnknownFLUX.2 Klein 4B
Default resolutionUnknown512 × 512
Transformer sizeUnknown1.21 GB
Weight formatUnknownTernary weights with FP16 group scales

NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities

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

Bonsai Image Ternary 4B Capabilities

generation
Serving providers0
Canonical IDprism-ml/Bonsai-Image-Ternary-4B

Primary Evidence

Sources and Freshness

Questions

NVIDIA Nemotron 3 Ultra 550B A55B BF16 vs Bonsai Image Ternary 4B FAQs

Is NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Bonsai Image Ternary 4B 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 Image Ternary 4B, 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 Image Ternary 4B?+

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 Image Ternary 4B?+

Neither model has a larger sourced context window in this comparison. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is 262K and Bonsai Image Ternary 4B is —.

Which performs better in benchmarks, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Bonsai Image Ternary 4B?+

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 Image Ternary 4B be self-hosted?+

Both models have the same recorded self-hosting status: supported. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight; Bonsai Image Ternary 4B is open weight.

Can NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Bonsai Image Ternary 4B understand images?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 is not documented with image input; Bonsai Image Ternary 4B is not 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 Image Ternary 4B?+

Neither has a larger sourced maximum output. NVIDIA Nemotron 3 Ultra 550B A55B BF16 is — and Bonsai Image Ternary 4B is —.

Do NVIDIA Nemotron 3 Ultra 550B A55B BF16 and Bonsai Image Ternary 4B support reasoning and tool use?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. Bonsai Image Ternary 4B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, NVIDIA Nemotron 3 Ultra 550B A55B BF16 or Bonsai Image Ternary 4B?+

NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3 sourced provider routes; Bonsai Image Ternary 4B 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 Image Ternary 4B?+

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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