Model Comparison
Llama 3.1 Instruct 8B
vs. Llama Nemotron Super 49B v1.5 (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Meta, NVIDIA
Recommended Pick
NV Llama Nemotron Super 49B v1.5 (Non-reasoning) 17 metric wins Strongest on: TTFT, Latency, Reasoning
Best Value
Llama 3.1 Instruct 8B
100.0 value score
15.9 reasoning / $0.10/1M
Lowest Price
Llama 3.1 Instruct 8B
$0.10/1M input price
Best Reasoning
Llama Nemotron Super 49B v1.5 (Non-reasoning)
24.8 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
Llama 3.1 Instruct 8B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Speed gap
Llama 3.1 Instruct 8B generates about 4.1x as many tokens per second as Llama Nemotron Super 49B v1.5 (Non-reasoning).
Reasoning gap
Llama Nemotron Super 49B v1.5 (Non-reasoning) leads Llama 3.1 Instruct 8B by 8.9 points on reasoning.
Coding gap
Llama Nemotron Super 49B v1.5 (Non-reasoning) leads Llama 3.1 Instruct 8B by 5.6 points on coding.
Top-pick rationale
Llama Nemotron Super 49B v1.5 (Non-reasoning) wins 17 measurable categories, including TTFT, Latency, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3.1 Instruct 8B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Llama Nemotron Super 49B v1.5 (Non-reasoning)
NVIDIA
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Me Llama 3.1 Instruct 8B | Top Pick NV Llama Nemotron Super 49B v1.5 (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.10/1M |
| Output Cost | $0.10/1M | $0.40/1M |
| Blended (3:1) | $0.10/1M | $0.18/1M |
| Specifications | ||
| Organization | Meta | NVIDIA |
| Release Date | Jul 23, 2024 | Jul 25, 2025 |
| Performance & Speed | ||
| Throughput | 199.7 tok/s | 48.4 tok/s |
| TTFT | 521ms | 301ms |
| Latency | 521ms | 301ms |
| Composite Indices | ||
| Value Score | 100.0 | 89.4 |
| Reasoning Score | 15.9 | 24.8 |
| Intelligence | 11.8 | 14.6 |
| Coding | 4.9 | 10.5 |
| Math | 4.3 | 8.0 |
| Standard Benchmarks | ||
| GPQA | 25.9% | 48.1% |
| MMLU Pro | 47.6% | 69.2% |
| HLE | 5.1% | 4.3% |
| LiveCodeBench | 11.6% | 29.0% |
| MATH 500 | 51.9% | 77.0% |
| AIME 2025 | 4.3% | 8.0% |
| AIME (Original) | 7.7% | 13.7% |
| SciCode | 13.2% | 23.8% |
| LCR | 15.7% | 22.0% |
| IFBench | 28.6% | 32.9% |
| TAU-bench v2 | 16.4% | 25.1% |
| TerminalBench Hard | 0.8% | 3.8% |
Key Takeaways
Llama 3.1 Instruct 8B offers the best value at $0.10/1M, making it ideal for high-volume applications and cost-conscious projects.
Llama Nemotron Super 49B v1.5 (Non-reasoning) has the strongest reasoning profile with a 24.8 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 3.1 Instruct 8B
- Cost-sensitive applications
- High-volume processing
Llama Nemotron Super 49B v1.5 (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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