Nemotron 4 340BvsDeepSeek R1
NVIDIA vs DeepSeek — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Nemotron 4 340B | DeepSeek R1 |
|---|---|---|
| Provider | ||
| Arena Rank | — | #3 |
| Context Window | 4K | 128K |
| Input Pricing | Free (open)/1M tokens | $0.55/1M tokens |
| Output Pricing | Free (open)/1M tokens | $2.19/1M tokens |
| Parameters | 340B | 671B (37B active) |
| Open Source | Yes | Yes |
| Best For | Synthetic data generation, training pipelines | Complex reasoning, math, science, coding |
| Release Date | Jun 14, 2024 | Jan 20, 2025 |
Nemotron 4 340B
Nemotron 4 340B is NVIDIA's large language model designed specifically for generating high-quality synthetic training data. With 340 billion parameters, it can produce diverse, accurate training examples for fine-tuning smaller models. NVIDIA released it to accelerate the development of custom AI models, recognizing that high-quality training data is often the biggest bottleneck in model development.
View NVIDIA profile →DeepSeek R1
DeepSeek R1 is DeepSeek's reasoning model that rivals OpenAI's o1 at a fraction of the cost. Using reinforcement learning to develop chain-of-thought reasoning capabilities, R1 excels at complex mathematics, scientific reasoning, and coding challenges. Its open-source release sent shockwaves through the AI industry, demonstrating that advanced reasoning capabilities could be replicated outside of major Western labs and at dramatically lower training costs.
View DeepSeek profile →Key Differences: Nemotron 4 340B vs DeepSeek R1
DeepSeek R1 supports a larger context window (128K), allowing it to process longer documents in a single request.
Nemotron 4 340B has 340B parameters vs DeepSeek R1's 671B (37B active), which affects inference speed and capability.
When to use Nemotron 4 340B
- +Your use case involves synthetic data generation, training pipelines
When to use DeepSeek R1
- +You need to process long documents (128K context)
- +Your use case involves complex reasoning, math, science, coding
The Verdict
DeepSeek R1 wins our head-to-head comparison with 5 out of 5 category wins. It's the stronger choice for complex reasoning, math, science, coding, though Nemotron 4 340B holds an edge in synthetic data generation, training pipelines.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages