NVIDIA Nemotron 3 Nano 30B A3B BF16 vs Qwen3.8 Flash

At a Glance

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Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#4 of 44$0.021 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.050Openrouter · Aug 29, 2026$0.113Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$0.20Openrouter · Aug 29, 2026$0.382Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens262K1,000K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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-Nano-30B-A3B-BF16Qwen3.8-Flash
DeveloperNVIDIAQwen
FamilyNvidia Nemotron 3 Nano 30b A3b Bf16Qwen3 8 Flash
ModelNVIDIA-Nemotron-3-Nano-30B-A3B-BF16Qwen3.8-Flash
VersionNVIDIA-Nemotron-3-Nano-30B-A3B-BF16Qwen3.8-Flash
Lifecycleactiveactive
Released2025-12-15Unknown
Knowledge cutoff2025-11-28Unknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window262K1,000K
Total parameters31.6BUnknown
Active parameters3.5BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, computer-use, reasoning, structured_outputs, tools, vision

NVIDIA Nemotron 3 Nano 30B A3B BF16 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDnvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

Qwen3.8 Flash Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.8-flash

Primary Evidence

Sources and Freshness

Questions

NVIDIA Nemotron 3 Nano 30B A3B BF16 vs Qwen3.8 Flash FAQs

Is NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Nano 30B A3B BF16 and Qwen3.8 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash?+

NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.050 and Qwen3.8 Flash is $0.113 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric. NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.20 and Qwen3.8 Flash is $0.382 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric.

Which has a larger context window, NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash?+

Qwen3.8 Flash has the larger sourced context window. NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 262K and Qwen3.8 Flash supports 1,000K.

Which performs better in benchmarks, NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash?+

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

Can NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash be self-hosted?+

NVIDIA Nemotron 3 Nano 30B A3B BF16 is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3 Nano 30B A3B BF16 is open weight; Qwen3.8 Flash is not marked open weight.

Can NVIDIA Nemotron 3 Nano 30B A3B BF16 and Qwen3.8 Flash understand images?+

NVIDIA Nemotron 3 Nano 30B A3B BF16 is not documented with image input; Qwen3.8 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash?+

NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced maximum output: NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 1,049K and Qwen3.8 Flash supports 131K output tokens.

Do NVIDIA Nemotron 3 Nano 30B A3B BF16 and Qwen3.8 Flash support reasoning and tool use?+

NVIDIA Nemotron 3 Nano 30B A3B BF16: reasoning and tool calling. Qwen3.8 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash?+

NVIDIA Nemotron 3 Nano 30B A3B BF16 has 3 sourced provider routes; Qwen3.8 Flash has 4, so Qwen3.8 Flash has broader tracked availability.

Which offers better value, NVIDIA Nemotron 3 Nano 30B A3B BF16 or Qwen3.8 Flash?+

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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