Model Comparison
Grok 4.20 0309 v2 (Reasoning)
vs. Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)
Comparing 2 AI models · 12 benchmarks · SpaceXAI, NVIDIA
Recommended Pick
SpGrok 4.20 0309 v2 (Reasoning)9 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)
$0.00/1M input price
Best Reasoning
Grok 4.20 0309 v2 (Reasoning)
53.4 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) is ∞x cheaper on input tokens than Grok 4.20 0309 v2 (Reasoning).
Reasoning gap
Grok 4.20 0309 v2 (Reasoning) leads Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) by 7.8 points on reasoning.
Top-pick rationale
Grok 4.20 0309 v2 (Reasoning) wins 9 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Grok 4.20 0309 v2 (Reasoning)
SpaceXAI
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 Nano 4B v1.1 (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?
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Full Comparison
| Metric | Top Pick Sp Grok 4.20 0309 v2 (Reasoning) | NV Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.00/1M |
| Output Cost | $6.00/1M | $0.00/1M |
| Blended (3:1) | $3.00/1M | — |
| Specifications | ||
| Organization | SpaceXAI | NVIDIA |
| Release Date | Apr 7, 2026 | May 20, 2025 |
| Performance & Speed | ||
| Throughput | 156.0 tok/s | — |
| TTFT | 21414ms | — |
| Latency | 21414ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 53.4 | 45.7 |
| Intelligence | 37.0 | 8.5 |
| Math | — | 50.0 |
| Standard Benchmarks | ||
| GPQA | 91.1% | 40.8% |
| MMLU Pro | — | 55.6% |
| HLE | 32.2% | 5.1% |
| LiveCodeBench | — | 49.3% |
| MATH 500 | — | 94.7% |
| AIME 2025 | — | 50.0% |
| AIME (Original) | — | 70.7% |
| SciCode | 45.6% | 10.1% |
| LCR | 58.0% | 0.0% |
| IFBench | 81.2% | 25.5% |
| TAU-bench v2 | 93.0% | 11.7% |
| TerminalBench Hard | 37.9% | — |
Key Takeaways
Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Grok 4.20 0309 v2 (Reasoning) has the strongest reasoning profile with a 53.4 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Grok 4.20 0309 v2 (Reasoning)
- Complex reasoning tasks
- Research & analysis
Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)
- Cost-sensitive applications
- High-volume processing
