DeepSeek R1 vs NVIDIA Nemotron 3 Nano 30B A3B BF16
At a Glance
| Compare |  DeepSeek R1DeepSeek | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.70Openrouter ↗ · Aug 28, 2026 | $0.050Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $2.50Openrouter ↗ · Aug 28, 2026 | $0.20Openrouter ↗ · Aug 29, 2026 |
| 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
| Benchmark | DeepSeek-R1 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,372.60100% of row best · rating · deepseek-r1; 95% CI [1367.75270193, 1377.44238946]; votes 18524; rank 168 | 1,348.4498% of row best · rating · nvidia-nemotron-3-nano-30b-a3b-bf16; 95% CI [1342.98546755, 1353.88978012]; votes 15325; rank 195 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-R1 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
|---|---|---|
| Developer | DeepSeek | NVIDIA |
| Family | Deepseek R1 | Nvidia Nemotron 3 Nano 30b A3b Bf16 |
| Model | DeepSeek-R1 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
| Version | DeepSeek-R1 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
| Lifecycle | active | active |
| Released | 2025-01-20 | 2025-12-15 |
| Knowledge cutoff | Unknown | 2025-11-28 |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 164K | 262K |
| Total parameters | 684.5B | 31.6B |
| Active parameters | 37B | 3.5B |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
DeepSeek R1 Capabilities
NVIDIA Nemotron 3 Nano 30B A3B BF16 Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek R1 vs NVIDIA Nemotron 3 Nano 30B A3B BF16 FAQs
Is DeepSeek R1 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 R1 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 R1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
DeepSeek R1 is $0.70 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 R1 is $2.50 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 R1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced context window. DeepSeek R1 supports 164K and NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 262K.
Which performs better in benchmarks, DeepSeek R1 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 R1 or NVIDIA Nemotron 3 Nano 30B A3B BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek R1 is open weight; NVIDIA Nemotron 3 Nano 30B A3B BF16 is open weight.
Can DeepSeek R1 and NVIDIA Nemotron 3 Nano 30B A3B BF16 understand images?+
DeepSeek R1 is not 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 R1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced maximum output: DeepSeek R1 supports 33K and NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 1,049K output tokens.
Do DeepSeek R1 and NVIDIA Nemotron 3 Nano 30B A3B BF16 support reasoning and tool use?+
DeepSeek R1: reasoning. 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 R1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
DeepSeek R1 has 2 sourced provider routes; NVIDIA Nemotron 3 Nano 30B A3B BF16 has 3, so NVIDIA Nemotron 3 Nano 30B A3B BF16 has broader tracked availability.
Which offers better value, DeepSeek R1 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.