Model Comparison
R1 Distill Llama 70B
vs. Nemotron 3 Super 120B A12B (Reasoning)
Comparing 2 AI models · 12 benchmarks · DeepSeek, NVIDIA
Recommended Pick
NV Nemotron 3 Super 120B A12B (Reasoning) 15 metric wins Strongest on: Value, Input price, Output price
Best Value
Nemotron 3 Super 120B A12B (Reasoning)
100.0 value score
45.1 reasoning / $0.41/1M
Lowest Price
Nemotron 3 Super 120B A12B (Reasoning)
$0.30/1M input price
Best Reasoning
R1 Distill Llama 70B
47.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Nemotron 3 Super 120B A12B (Reasoning)
31.2 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Nemotron 3 Super 120B A12B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Nemotron 3 Super 120B A12B (Reasoning) is 2.3x cheaper on input tokens than R1 Distill Llama 70B.
Speed gap
Nemotron 3 Super 120B A12B (Reasoning) generates about 3.4x as many tokens per second as R1 Distill Llama 70B.
Reasoning gap
R1 Distill Llama 70B leads Nemotron 3 Super 120B A12B (Reasoning) by 2.1 points on reasoning.
Coding gap
Nemotron 3 Super 120B A12B (Reasoning) leads R1 Distill Llama 70B by 19.8 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 Distill Llama 70B
DeepSeek
TTFT
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Time
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tok/s
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Tokens
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Cost
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Nemotron 3 Super 120B A12B (Reasoning)
NVIDIA
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | De R1 Distill Llama 70B | Top Pick NV Nemotron 3 Super 120B A12B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.30/1M |
| Output Cost | $1.05/1M | $0.75/1M |
| Blended (3:1) | $0.79/1M | $0.41/1M |
| Specifications | ||
| Organization | DeepSeek | NVIDIA |
| Release Date | Jan 20, 2025 | Mar 11, 2026 |
| Performance & Speed | ||
| Throughput | 42.7 tok/s | 147.1 tok/s |
| TTFT | 474ms | 1024ms |
| Latency | 47328ms | 14620ms |
| Composite Indices | ||
| Value Score | 54.8 | 100.0 |
| Reasoning Score | 47.2 | 45.1 |
| Intelligence | 16.0 | 36.0 |
| Coding | 11.4 | 31.2 |
| Math | 53.7 | — |
| Standard Benchmarks | ||
| GPQA | 40.2% | 80.0% |
| MMLU Pro | 79.5% | — |
| HLE | 6.1% | 19.2% |
| LiveCodeBench | 26.6% | — |
| MATH 500 | 93.5% | — |
| AIME 2025 | 53.7% | — |
| AIME (Original) | 67.0% | — |
| SciCode | 31.3% | 36.0% |
| LCR | 11.0% | 60.0% |
| IFBench | 27.6% | 71.5% |
| TAU-bench v2 | 21.9% | 67.8% |
| TerminalBench Hard | 1.5% | 28.8% |
Key Takeaways
Nemotron 3 Super 120B A12B (Reasoning) offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
R1 Distill Llama 70B has the strongest reasoning profile with a 47.2 reasoning score, combining the available reasoning-heavy benchmarks.
Nemotron 3 Super 120B A12B (Reasoning) reaches a 31.2 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
R1 Distill Llama 70B
- Complex reasoning tasks
- Research & analysis
Nemotron 3 Super 120B A12B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
