Model Comparison
Llama Nemotron Super 49B v1.5 (Non-reasoning)
vs. Nemotron Nano 9B V2 (Reasoning)
Comparing 2 AI models · 12 benchmarks · NVIDIA
Recommended Pick
NV Nemotron Nano 9B V2 (Reasoning) 13 metric wins Strongest on: Value, Input price, Output price
Best Value
Nemotron Nano 9B V2 (Reasoning)
100.0 value score
42.0 reasoning / $0.07/1M
Lowest Price
Nemotron Nano 9B V2 (Reasoning)
$0.04/1M input price
Best Reasoning
Nemotron Nano 9B V2 (Reasoning)
42.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Llama Nemotron Super 49B v1.5 (Non-reasoning)
10.5 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 Nano 9B V2 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Nemotron Nano 9B V2 (Reasoning) is 2.5x cheaper on input tokens than Llama Nemotron Super 49B v1.5 (Non-reasoning).
Speed gap
Nemotron Nano 9B V2 (Reasoning) generates about 1.2x as many tokens per second as Llama Nemotron Super 49B v1.5 (Non-reasoning).
Reasoning gap
Nemotron Nano 9B V2 (Reasoning) leads Llama Nemotron Super 49B v1.5 (Non-reasoning) by 18.0 points on reasoning.
Coding gap
Llama Nemotron Super 49B v1.5 (Non-reasoning) leads Nemotron Nano 9B V2 (Reasoning) by 2.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama Nemotron Super 49B v1.5 (Non-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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Nemotron Nano 9B V2 (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 | NV Llama Nemotron Super 49B v1.5 (Non-reasoning) | Top Pick NV Nemotron Nano 9B V2 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.04/1M |
| Output Cost | $0.40/1M | $0.16/1M |
| Blended (3:1) | $0.18/1M | $0.07/1M |
| Specifications | ||
| Organization | NVIDIA | NVIDIA |
| Release Date | Jul 25, 2025 | Aug 18, 2025 |
| Performance & Speed | ||
| Throughput | 48.9 tok/s | 58.0 tok/s |
| TTFT | 304ms | 17047ms |
| Latency | 304ms | 51504ms |
| Composite Indices | ||
| Value Score | 22.9 | 100.0 |
| Reasoning Score | 24.0 | 42.0 |
| Intelligence | 8.7 | 8.8 |
| Coding | 10.5 | 8.3 |
| Math | 8.0 | 69.7 |
| Standard Benchmarks | ||
| GPQA | 48.1% | 57.0% |
| MMLU Pro | 69.2% | 74.2% |
| HLE | 4.3% | 4.6% |
| LiveCodeBench | 29.0% | 72.4% |
| MATH 500 | 77.0% | — |
| AIME 2025 | 8.0% | 69.7% |
| AIME (Original) | 13.7% | — |
| SciCode | 23.8% | 22.0% |
| LCR | 22.0% | 21.0% |
| IFBench | 32.9% | 27.6% |
| TAU-bench v2 | 25.1% | 21.9% |
| TerminalBench Hard | 3.8% | 1.5% |
Key Takeaways
Nemotron Nano 9B V2 (Reasoning) offers the best value at $0.04/1M, making it ideal for high-volume applications and cost-conscious projects.
Nemotron Nano 9B V2 (Reasoning) has the strongest reasoning profile with a 42.0 reasoning score, combining the available reasoning-heavy benchmarks.
Llama Nemotron Super 49B v1.5 (Non-reasoning) reaches a 10.5 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 Nemotron Super 49B v1.5 (Non-reasoning)
- Code generation
- Software development
Nemotron Nano 9B V2 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
