Model Comparison
Llama 3 Instruct 70B
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) 19 metric wins Strongest on: Value, Input price, Output price
Best Value
Llama Nemotron Super 49B v1.5 (Non-reasoning)
100.0 value score
24.0 reasoning / $0.18/1M
Lowest Price
Llama Nemotron Super 49B v1.5 (Non-reasoning)
$0.10/1M input price
Best Reasoning
Llama Nemotron Super 49B v1.5 (Non-reasoning)
24.0 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 Nemotron Super 49B v1.5 (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Llama Nemotron Super 49B v1.5 (Non-reasoning) is 6.5x cheaper on input tokens than Llama 3 Instruct 70B.
Speed gap
Llama Nemotron Super 49B v1.5 (Non-reasoning) generates about 1.1x as many tokens per second as Llama 3 Instruct 70B.
Reasoning gap
Llama Nemotron Super 49B v1.5 (Non-reasoning) leads Llama 3 Instruct 70B by 5.2 points on reasoning.
Coding gap
Llama Nemotron Super 49B v1.5 (Non-reasoning) leads Llama 3 Instruct 70B by 3.7 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3 Instruct 70B
Meta
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 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 Instruct 70B | Top Pick NV Llama Nemotron Super 49B v1.5 (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.65/1M | $0.10/1M |
| Output Cost | $2.75/1M | $0.40/1M |
| Blended (3:1) | $1.18/1M | $0.18/1M |
| Specifications | ||
| Organization | Meta | NVIDIA |
| Release Date | Apr 18, 2024 | Jul 25, 2025 |
| Performance & Speed | ||
| Throughput | 45.2 tok/s | 48.9 tok/s |
| TTFT | 718ms | 304ms |
| Latency | 718ms | 304ms |
| Composite Indices | ||
| Value Score | 11.7 | 100.0 |
| Reasoning Score | 18.8 | 24.0 |
| Intelligence | 3.5 | 8.7 |
| Coding | 6.8 | 10.5 |
| Math | — | 8.0 |
| Standard Benchmarks | ||
| GPQA | 37.9% | 48.1% |
| MMLU Pro | 57.4% | 69.2% |
| HLE | 4.4% | 4.3% |
| LiveCodeBench | 19.8% | 29.0% |
| MATH 500 | 48.3% | 77.0% |
| AIME 2025 | — | 8.0% |
| AIME (Original) | 0.0% | 13.7% |
| SciCode | 18.9% | 23.8% |
| LCR | 0.0% | 22.0% |
| IFBench | 37.1% | 32.9% |
| TAU-bench v2 | 0.0% | 25.1% |
| TerminalBench Hard | 0.8% | 3.8% |
Key Takeaways
Llama Nemotron Super 49B v1.5 (Non-reasoning) 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 24.0 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 Instruct 70B
- General-purpose AI
- Versatile applications
Llama Nemotron Super 49B v1.5 (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
