Model Comparison
Grok 3
vs. Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
Comparing 2 AI models · 12 benchmarks · xAI, NVIDIA
Recommended Pick
NV Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) 14 metric wins Strongest on: Value, Input price, Output price
Best Value
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
100.0 value score
56.2 reasoning / $0.90/1M
Lowest Price
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
$0.60/1M input price
Best Reasoning
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
56.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Grok 3
19.8 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
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) is 6.7x cheaper on input tokens than Grok 3.
Reasoning gap
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) leads Grok 3 by 8.2 points on reasoning.
Coding gap
Grok 3 leads Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) by 6.7 points on coding.
Top-pick rationale
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) wins 14 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Grok 3
xAI
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
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | xA Grok 3 | Top Pick NV Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $4.00/1M | $0.60/1M |
| Output Cost | $20.00/1M | $1.80/1M |
| Blended (3:1) | $8.00/1M | $0.90/1M |
| Specifications | ||
| Organization | xAI | NVIDIA |
| Release Date | Feb 19, 2025 | Apr 7, 2025 |
| Performance & Speed | ||
| Throughput | — | 51.2 tok/s |
| TTFT | — | 734ms |
| Latency | — | 39769ms |
| Composite Indices | ||
| Value Score | 9.6 | 100.0 |
| Reasoning Score | 47.9 | 56.2 |
| Intelligence | 25.2 | 15.0 |
| Coding | 19.8 | 13.1 |
| Math | 58.0 | 63.7 |
| Standard Benchmarks | ||
| GPQA | 69.3% | 72.8% |
| MMLU Pro | 79.9% | 82.5% |
| HLE | 5.1% | 8.1% |
| LiveCodeBench | 42.5% | 64.1% |
| MATH 500 | 87.0% | 95.2% |
| AIME 2025 | 58.0% | 63.7% |
| AIME (Original) | 33.0% | 74.7% |
| SciCode | 36.8% | 34.7% |
| LCR | 54.7% | 7.3% |
| IFBench | 46.9% | 38.2% |
| TAU-bench v2 | 48.8% | 11.4% |
| TerminalBench Hard | 11.4% | 2.3% |
Key Takeaways
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) offers the best value at $0.60/1M, 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 56.2 reasoning score, combining the available reasoning-heavy benchmarks.
Grok 3 reaches a 19.8 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
Grok 3
- Code generation
- Software development
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
