Model Comparison
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
vs. Nemotron 3 Nano 4B
Comparing 2 AI models · 12 benchmarks · NVIDIA
Recommended Pick
NV Nemotron 3 Nano 4B 8 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
Nemotron 3 Nano 4B
$0.00/1M input price
Best Reasoning
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
56.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
13.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Nemotron 3 Nano 4B is ∞x cheaper on input tokens than Llama 3.1 Nemotron Ultra 253B v1 (Reasoning).
Reasoning gap
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) leads Nemotron 3 Nano 4B by 32.6 points on reasoning.
Coding gap
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) leads Nemotron 3 Nano 4B by 3.1 points on coding.
Top-pick rationale
Nemotron 3 Nano 4B wins 8 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
NVIDIA
TTFT
—
Time
—
tok/s
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Tokens
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Cost
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Nemotron 3 Nano 4B
NVIDIA
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | NV Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) | Top Pick NV Nemotron 3 Nano 4B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.00/1M |
| Output Cost | $1.80/1M | $0.00/1M |
| Blended (3:1) | $0.90/1M | — |
| Specifications | ||
| Organization | NVIDIA | NVIDIA |
| Release Date | Apr 7, 2025 | Mar 16, 2026 |
| Performance & Speed | ||
| Throughput | 51.5 tok/s | — |
| TTFT | 734ms | — |
| Latency | 39583ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 56.2 | 23.6 |
| Intelligence | 15.0 | 14.7 |
| Coding | 13.1 | 10.0 |
| Math | 63.7 | — |
| Standard Benchmarks | ||
| GPQA | 72.8% | 51.3% |
| MMLU Pro | 82.5% | — |
| HLE | 8.1% | 4.8% |
| LiveCodeBench | 64.1% | — |
| MATH 500 | 95.2% | — |
| AIME 2025 | 63.7% | — |
| AIME (Original) | 74.7% | — |
| SciCode | 34.7% | 16.4% |
| LCR | 7.3% | 16.7% |
| IFBench | 38.2% | 58.2% |
| TAU-bench v2 | 11.4% | 28.1% |
| TerminalBench Hard | 2.3% | 6.8% |
Key Takeaways
Nemotron 3 Nano 4B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) has the strongest reasoning profile with a 56.2 reasoning score, combining the available reasoning-heavy benchmarks.
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) reaches a 13.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Nemotron 3 Nano 4B
- Cost-sensitive applications
- High-volume processing
