Qwen3.5 397B A17B vs NVIDIA Nemotron 3 Ultra 550B A55B BF16

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#24 of 5750.5 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 16.8–83.5#30 of 5737.8 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 12.6–79.3
CostLower is better · Published-token output estimateUnrankedNot in the 27-model eligible cohort#14 of 27$0.092 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.9UnrankedNot in the 27-model eligible cohort#24 of 2737.1 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 24.5–57.8
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra ↗ · Oct 19, 2026$0.50Openrouter ↗ · Aug 29, 2026
Output priceFrom · USD / 1M tokens$3.00Deepinfra ↗ · Oct 19, 2026$2.20Openrouter ↗ · Aug 29, 2026
Context windowMaximum documented tokens262K262K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 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

FieldQwen3.5-397B-A17BNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
DeveloperQwenNVIDIA
FamilyQwen3 5 397b A17bNvidia Nemotron 3 Ultra 550b A55b Bf16
ModelQwen3.5-397B-A17BNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
VersionQwen3.5-397B-A17BNVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
Lifecycleactiveactive
Released2026-02-152026-06-04
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window262K262K
Total parameters403.4B560.5B
Active parameters17B55B
Licenseapache-2.0other
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs NVIDIA Nemotron 3 Ultra 550B A55B BF16 FAQs

Is Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and NVIDIA Nemotron 3 Ultra 550B A55B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

Qwen3.5 397B A17B is $0.45 and NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $0.50 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric. Qwen3.5 397B A17B is $3.00 and NVIDIA Nemotron 3 Ultra 550B A55B BF16 is $2.20 per million tokens, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 is cheaper on this metric.

Which has a larger context window, Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

Both models have the same sourced context window: 262,144 tokens each.

Which performs better in benchmarks, Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16 be self-hosted?+

Both models have the same sourced self-hosting status: supported. Qwen3.5 397B A17B is open weight; NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight.

Can Qwen3.5 397B A17B and NVIDIA Nemotron 3 Ultra 550B A55B BF16 understand images?+

Qwen3.5 397B A17B is documented with image input; NVIDIA Nemotron 3 Ultra 550B A55B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do Qwen3.5 397B A17B and NVIDIA Nemotron 3 Ultra 550B A55B BF16 support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

Qwen3.5 397B A17B has 4 sourced provider routes; NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+

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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