DeepSeek V3.2 vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16
At a Glance
| Compare |  DeepSeek V3.2DeepSeek | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.26Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.38Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 164K | 262K |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | DeepSeek-V3.2 | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
|---|---|---|
| Developer | DeepSeek | NVIDIA |
| Family | Deepseek V3 2 | Nvidia Nemotron 3 Nano 30b A3b Base Bf16 |
| Model | DeepSeek-V3.2 | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
| Version | DeepSeek-V3.2 | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
| Lifecycle | active | active |
| Released | 2025-12-01 | 2025-12-15 |
| Knowledge cutoff | Unknown | 2025-06-25 |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 164K | 262K |
| Total parameters | 685.4B | 31.6B |
| Active parameters | Unknown | Unknown |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | generation |
DeepSeek V3.2 Capabilities
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V3.2DeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V3.2DeepSeek | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V3.2DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V3.2DeepSeek | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V3.2DeepSeek | cross-developer peerstext |
DeepSeek-V3.2DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V3.2 vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16 FAQs
Is DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3.2 and NVIDIA Nemotron 3 Nano 30B A3B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
Only DeepSeek V3.2 has a directly sourced input price: $0.26 per million tokens. Only DeepSeek V3.2 has a directly sourced output price: $0.38 per million tokens.
Which has a larger context window, DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has the larger sourced context window. DeepSeek V3.2 supports 164K and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 supports 262K.
Which performs better in benchmarks, DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V3.2 is open weight; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is open weight.
Can DeepSeek V3.2 and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 understand images?+
DeepSeek V3.2 is not documented with image input; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
Neither has a larger sourced maximum output. DeepSeek V3.2 is — and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is 131K.
Do DeepSeek V3.2 and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 support reasoning and tool use?+
DeepSeek V3.2: reasoning. NVIDIA Nemotron 3 Nano 30B A3B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
DeepSeek V3.2 has 3 sourced provider routes; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has 0, so DeepSeek V3.2 has broader tracked availability.
Which offers better value, DeepSeek V3.2 or NVIDIA Nemotron 3 Nano 30B A3B Base 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.