DeepSeek V4.1 Flash vs NVIDIA Nemotron 3 Nano 30B A3B BF16

At a Glance

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Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimate#5 of 44$0.022 per LiveBench caseUnrankedNot in the 44-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.15DeepSeek · Sep 10, 2026$0.050Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokens$0.60Deepinfra · Sep 21, 2026$0.20Openrouter · Aug 29, 2026
Context windowMaximum documented tokens1,049K262K
Model facts checkedSep 10, 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

FieldDeepSeek-V4.1-FlashNVIDIA-Nemotron-3-Nano-30B-A3B-BF16
DeveloperDeepSeekNVIDIA
FamilyDeepseek V4 1Nvidia Nemotron 3 Nano 30b A3b Bf16
ModelDeepSeek-V4.1-FlashNVIDIA-Nemotron-3-Nano-30B-A3B-BF16
VersionDeepSeek-V4.1-FlashNVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Lifecycleactiveactive
Released2026-09-102025-12-15
Knowledge cutoffUnknown2025-11-28
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K262K
Total parameters763.2B31.6B
Active parametersUnknown3.5B
Licensemitother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard)Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesagents, chat, fim, generation, reasoning, responses, structured_outputs, tools, visionchat, generation, reasoning, tools
Architecture designCausal Encoder-Decoder (20 encoder + 20 decoder layers)Unknown
Backbone parameters552000000000 parametersUnknown
Active parameters during decode16000000000 parametersUnknown
Active parameters during prefill8000000000 parametersUnknown
Pre-training corpus45000000000000 tokensUnknown
Reasoning effort range1–100Unknown
Routed experts per MoE layer384 expertsUnknown
Routed experts per token6 expertsUnknown
Transformer layers40 layersUnknown

DeepSeek V4.1 Flash Capabilities

agentschatfimgenerationreasoningresponsesstructured outputstoolsvision
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V4.1-Flash

NVIDIA Nemotron 3 Nano 30B A3B BF16 Capabilities

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

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4.1 Flash vs NVIDIA Nemotron 3 Nano 30B A3B BF16 FAQs

Is DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B BF16 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4.1 Flash and NVIDIA Nemotron 3 Nano 30B A3B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B BF16?+

DeepSeek V4.1 Flash is $0.15 and NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.050 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric. DeepSeek V4.1 Flash is $0.60 and NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.20 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric.

Which has a larger context window, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B BF16?+

DeepSeek V4.1 Flash has the larger sourced context window. DeepSeek V4.1 Flash supports 1,049K and NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 262K.

Which performs better in benchmarks, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B BF16?+

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

Can DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B BF16 be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4.1 Flash is open weight; NVIDIA Nemotron 3 Nano 30B A3B BF16 is open weight.

Can DeepSeek V4.1 Flash and NVIDIA Nemotron 3 Nano 30B A3B BF16 understand images?+

DeepSeek V4.1 Flash is documented with image input; NVIDIA Nemotron 3 Nano 30B A3B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B BF16?+

NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced maximum output: DeepSeek V4.1 Flash supports 393K and NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 1,049K output tokens.

Do DeepSeek V4.1 Flash and NVIDIA Nemotron 3 Nano 30B A3B BF16 support reasoning and tool use?+

DeepSeek V4.1 Flash: reasoning, tool calling, and image input. NVIDIA Nemotron 3 Nano 30B A3B BF16: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B BF16?+

DeepSeek V4.1 Flash has 3 sourced provider routes; NVIDIA Nemotron 3 Nano 30B A3B BF16 has 3, a tie.

Which offers better value, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Nano 30B A3B 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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