Model Comparison
Claude 3.7 Sonnet (Reasoning)
vs. Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
Comparing 2 AI models · 12 benchmarks · Anthropic, NVIDIA
Recommended Pick
AnClaude 3.7 Sonnet (Reasoning)13 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
Claude 3.7 Sonnet (Reasoning)
$0.00/1M input price
Best Reasoning
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
55.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude 3.7 Sonnet (Reasoning)
36.4 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
Claude 3.7 Sonnet (Reasoning) 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 Claude 3.7 Sonnet (Reasoning) by 2.4 points on reasoning.
Top-pick rationale
Claude 3.7 Sonnet (Reasoning) wins 13 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.
Claude 3.7 Sonnet (Reasoning)
Anthropic
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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Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
NVIDIA
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick An Claude 3.7 Sonnet (Reasoning) | NV Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.60/1M |
| Output Cost | $0.00/1M | $1.80/1M |
| Blended (3:1) | — | $0.90/1M |
| Specifications | ||
| Organization | Anthropic | NVIDIA |
| Release Date | Feb 24, 2025 | Apr 7, 2025 |
| Performance & Speed | ||
| Throughput | — | 51.7 tok/s |
| TTFT | — | 705ms |
| Latency | — | 39404ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 52.9 | 55.3 |
| Intelligence | 27.1 | 9.1 |
| Coding | 36.4 | — |
| Math | 56.3 | 63.7 |
| Standard Benchmarks | ||
| GPQA | 77.2% | 72.8% |
| MMLU Pro | 83.7% | 82.5% |
| HLE | 10.3% | 8.1% |
| LiveCodeBench | 47.3% | 64.1% |
| MATH 500 | 94.7% | 95.2% |
| AIME 2025 | 56.3% | 63.7% |
| AIME (Original) | 48.7% | 74.7% |
| SciCode | 40.3% | 34.7% |
| LCR | 60.7% | 7.3% |
| IFBench | 48.3% | 38.2% |
| TAU-bench v2 | 54.7% | 11.4% |
| TerminalBench Hard | 21.2% | 2.3% |
Key Takeaways
Claude 3.7 Sonnet (Reasoning) 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 55.3 reasoning score,combining the available reasoning-heavy benchmarks.
Claude 3.7 Sonnet (Reasoning) reaches a 36.4 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
Claude 3.7 Sonnet (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
- Complex reasoning tasks
- Research & analysis
