Model Comparison
Llama 3.2 Instruct 1B
vs. Llama 3 Instruct 70B
Comparing 2 AI models · 12 benchmarks · Meta
Recommended Pick
Me Llama 3 Instruct 70B 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
Llama 3.2 Instruct 1B
100.0 value score
5.7 reasoning / $0.05/1M
Lowest Price
Llama 3.2 Instruct 1B
$0.05/1M input price
Best Reasoning
Llama 3 Instruct 70B
18.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Llama 3 Instruct 70B
6.8 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 3.2 Instruct 1B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Llama 3.2 Instruct 1B is 13x cheaper on input tokens than Llama 3 Instruct 70B.
Speed gap
Llama 3.2 Instruct 1B generates about 1.9x as many tokens per second as Llama 3 Instruct 70B.
Reasoning gap
Llama 3 Instruct 70B leads Llama 3.2 Instruct 1B by 13.1 points on reasoning.
Coding gap
Llama 3 Instruct 70B leads Llama 3.2 Instruct 1B by 6.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3.2 Instruct 1B
Meta
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Llama 3 Instruct 70B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Me Llama 3.2 Instruct 1B | Top Pick Me Llama 3 Instruct 70B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.05/1M | $0.65/1M |
| Output Cost | $0.05/1M | $2.75/1M |
| Blended (3:1) | $0.05/1M | $1.18/1M |
| Specifications | ||
| Organization | Meta | Meta |
| Release Date | Sep 25, 2024 | Apr 18, 2024 |
| Performance & Speed | ||
| Throughput | 86.5 tok/s | 45.4 tok/s |
| TTFT | 563ms | 716ms |
| Latency | 563ms | 716ms |
| Composite Indices | ||
| Value Score | 100.0 | 14.0 |
| Reasoning Score | 5.7 | 18.8 |
| Intelligence | 1.1 | 3.5 |
| Coding | 0.6 | 6.8 |
| Math | 0.0 | — |
| Standard Benchmarks | ||
| GPQA | 19.6% | 37.9% |
| MMLU Pro | 20.0% | 57.4% |
| HLE | 5.3% | 4.4% |
| LiveCodeBench | 1.9% | 19.8% |
| MATH 500 | 14.0% | 48.3% |
| AIME 2025 | 0.0% | — |
| AIME (Original) | 0.0% | 0.0% |
| SciCode | 1.7% | 18.9% |
| LCR | 5.0% | 0.0% |
| IFBench | 22.8% | 37.1% |
| TAU-bench v2 | 0.0% | 0.0% |
| TerminalBench Hard | 0.0% | 0.8% |
Key Takeaways
Llama 3.2 Instruct 1B offers the best value at $0.05/1M, making it ideal for high-volume applications and cost-conscious projects.
Llama 3 Instruct 70B has the strongest reasoning profile with a 18.8 reasoning score, combining the available reasoning-heavy benchmarks.
Llama 3 Instruct 70B reaches a 6.8 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
Llama 3.2 Instruct 1B
- Cost-sensitive applications
- High-volume processing
Llama 3 Instruct 70B
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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