Model Comparison
R1 Distill Qwen 32B
vs. Nemotron Nano 9B V2 (Reasoning)
Comparing 2 AI models · 12 benchmarks · DeepSeek, NVIDIA
Recommended Pick
De R1 Distill Qwen 32B 9 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
R1 Distill Qwen 32B
$0.00/1M input price
Best Reasoning
R1 Distill Qwen 32B
53.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Nemotron Nano 9B V2 (Reasoning)
8.3 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
R1 Distill Qwen 32B is ∞x cheaper on input tokens than Nemotron Nano 9B V2 (Reasoning).
Reasoning gap
R1 Distill Qwen 32B leads Nemotron Nano 9B V2 (Reasoning) by 10.1 points on reasoning.
Top-pick rationale
R1 Distill Qwen 32B wins 9 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.
R1 Distill Qwen 32B
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Nemotron Nano 9B V2 (Reasoning)
NVIDIA
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick De R1 Distill Qwen 32B | NV Nemotron Nano 9B V2 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.04/1M |
| Output Cost | $0.00/1M | $0.16/1M |
| Blended (3:1) | — | $0.07/1M |
| Specifications | ||
| Organization | DeepSeek | NVIDIA |
| Release Date | Jan 20, 2025 | Aug 18, 2025 |
| Performance & Speed | ||
| Throughput | — | 113.7 tok/s |
| TTFT | — | 248ms |
| Latency | — | 17842ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 53.3 | 43.2 |
| Intelligence | 17.2 | 14.8 |
| Coding | — | 8.3 |
| Math | 63.0 | 69.7 |
| Standard Benchmarks | ||
| GPQA | 61.5% | 57.0% |
| MMLU Pro | 73.9% | 74.2% |
| HLE | 5.5% | 4.6% |
| LiveCodeBench | 27.0% | 72.4% |
| MATH 500 | 94.1% | — |
| AIME 2025 | 63.0% | 69.7% |
| AIME (Original) | 68.7% | — |
| SciCode | 37.6% | 22.0% |
| LCR | 9.7% | 21.0% |
| IFBench | 22.9% | 27.6% |
| TAU-bench v2 | — | 21.9% |
| TerminalBench Hard | — | 1.5% |
Key Takeaways
R1 Distill Qwen 32B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
R1 Distill Qwen 32B has the strongest reasoning profile with a 53.3 reasoning score, combining the available reasoning-heavy benchmarks.
Nemotron Nano 9B V2 (Reasoning) reaches a 8.3 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 Qwen 32B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Nemotron Nano 9B V2 (Reasoning)
- Code generation
- Software development
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