LLM Comparison
DeepSeek V4 Pro vs Nemotron 3.5 Lightning 30B A3B
Side-by-side specs, pricing & capabilities · Updated August 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 45 69.6 | 6 12.0 |
| Family | DeepSeek V4 | Nemotron |
| Status | Current | Current |
| Release Date | Aug 2026 | Aug 2026 |
| Context Window | 1.0M tokens | 1.0M tokens |
| Input Price | $0.43/M tokens | $0.10/M tokens |
| Output Price | $0.87/M tokens | $0.95/M tokens |
| Pricing Notes | DeepSeek API pricing currently lists $0.003625 cache-hit input, $0.435 cache-miss input, and $0.87 output per 1M tokens for deepseek-v4-pro. DeepSeek announced peak/off-peak pricing effective August 16, 2026, with off-peak prices at half the peak rate. | NVIDIA build lists serverless NIM pricing at $0.10 input and $0.95 output per million tokens. Self-hosted weights are also available; infrastructure costs vary. |
| Capabilities | reasoningcodingtool-usestructured-outputlong-contextagenticresponses-api | textreasoningcodingtool-usefunction-callinglong-contextagenticlocal-deploymentopen-weights |
| Training Cutoff | — | May 2026 post-training; September 2025 pre-training |
| Max Output | 393K tokens | 33K tokens |
| API Identifier | deepseek-v4-pro | nvidia/nemotron-3.5-lightning-30b-a3b |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1 | 44artificial-analysis | — |
| Artificial Analysis Intelligence Index v4.1.1 | 53artificial-analysis | 24artificial-analysis |
| View DeepSeek V4 Pro | View Nemotron 3.5 Lightning 30B A3B | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Nemotron 3.5 Lightning 30B A3BCheapest | $0.10 | $0.48 | $0.58 | — |
| DeepSeek V4 Pro | $0.44 | $0.44 | $0.87 | +51% |
DeepSeek
DeepSeek V4 Pro
DeepSeek V4 Pro 0813 is an open-weight Mixture-of-Experts reasoning model for long-context coding, tool use, and agentic workloads, with native Responses API support through the DeepSeek API.
NVIDIA
Nemotron 3.5 Lightning 30B A3B
Nemotron 3.5 Lightning is NVIDIA open-weight 30B-A3B reasoning model for fast, long-running agents. Its hybrid Mamba-2, mixture-of-experts, and attention architecture supports function calling, coding, tool use, long context, and efficient local or serverless deployment.
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