Model Comparison
Llama 3.1 Instruct 70B
vs. Nemotron 3 Nano 4B
Comparing 2 AI models · 12 benchmarks · Meta, NVIDIA
Recommended Pick
NV Nemotron 3 Nano 4B 12 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
Nemotron 3 Nano 4B
$0.00/1M input price
Best Reasoning
Nemotron 3 Nano 4B
23.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Llama 3.1 Instruct 70B
10.9 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 Instruct 70B.
Reasoning gap
Nemotron 3 Nano 4B leads Llama 3.1 Instruct 70B by 2.4 points on reasoning.
Coding gap
Llama 3.1 Instruct 70B leads Nemotron 3 Nano 4B by 0.9 points on coding.
Top-pick rationale
Nemotron 3 Nano 4B wins 12 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 Instruct 70B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Nemotron 3 Nano 4B
NVIDIA
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Me Llama 3.1 Instruct 70B | Top Pick NV Nemotron 3 Nano 4B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.56/1M | $0.00/1M |
| Output Cost | $0.56/1M | $0.00/1M |
| Blended (3:1) | $0.56/1M | — |
| Specifications | ||
| Organization | Meta | NVIDIA |
| Release Date | Jul 23, 2024 | Mar 16, 2026 |
| Performance & Speed | ||
| Throughput | 35.0 tok/s | — |
| TTFT | 578ms | — |
| Latency | 578ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 21.2 | 23.6 |
| Intelligence | 12.5 | 14.7 |
| Coding | 10.9 | 10.0 |
| Math | 4.0 | — |
| Standard Benchmarks | ||
| GPQA | 40.9% | 51.3% |
| MMLU Pro | 67.6% | — |
| HLE | 4.6% | 4.8% |
| LiveCodeBench | 23.2% | — |
| MATH 500 | 64.9% | — |
| AIME 2025 | 4.0% | — |
| AIME (Original) | 17.3% | — |
| SciCode | 26.7% | 16.4% |
| LCR | 6.3% | 16.7% |
| IFBench | 34.4% | 58.2% |
| TAU-bench v2 | 15.2% | 28.1% |
| TerminalBench Hard | 3.0% | 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.
Nemotron 3 Nano 4B has the strongest reasoning profile with a 23.6 reasoning score, combining the available reasoning-heavy benchmarks.
Llama 3.1 Instruct 70B reaches a 10.9 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 Instruct 70B
- Code generation
- Software development
Nemotron 3 Nano 4B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
