Model Comparison
GPT-4o mini
vs. Llama 3.1 Instruct 8B
Comparing 2 AI models · 12 benchmarks · OpenAI, Meta
Recommended Pick
Op GPT-4o mini 11 metric wins Strongest on: Reasoning, Intelligence, Math
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
GPT-4o mini
25.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Llama 3.1 Instruct 8B
4.9 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.
Price gap
Llama 3.1 Instruct 8B is 1.5x cheaper on input tokens than GPT-4o mini.
Speed gap
Llama 3.1 Instruct 8B generates about 2.9x as many tokens per second as GPT-4o mini.
Reasoning gap
GPT-4o mini leads Llama 3.1 Instruct 8B by 9.7 points on reasoning.
Top-pick rationale
GPT-4o mini wins 11 measurable categories, including Reasoning, Intelligence, Math, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o mini
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Llama 3.1 Instruct 8B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-4o mini | Me Llama 3.1 Instruct 8B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.10/1M |
| Output Cost | $0.60/1M | $0.10/1M |
| Blended (3:1) | $0.26/1M | $0.10/1M |
| Specifications | ||
| Organization | OpenAI | Meta |
| Release Date | Jul 18, 2024 | Jul 23, 2024 |
| Performance & Speed | ||
| Throughput | 71.7 tok/s | 205.1 tok/s |
| TTFT | 587ms | 564ms |
| Latency | 587ms | 564ms |
| Composite Indices | ||
| Value Score | 61.4 | 100.0 |
| Reasoning Score | 25.6 | 15.9 |
| Intelligence | 12.6 | 11.8 |
| Coding | — | 4.9 |
| Math | 14.7 | 4.3 |
| Standard Benchmarks | ||
| GPQA | 42.6% | 25.9% |
| MMLU Pro | 64.8% | 47.6% |
| HLE | 4.0% | 5.1% |
| LiveCodeBench | 23.4% | 11.6% |
| MATH 500 | 78.9% | 51.9% |
| AIME 2025 | 14.7% | 4.3% |
| AIME (Original) | 11.7% | 7.7% |
| SciCode | 22.9% | 13.2% |
| LCR | — | 15.7% |
| IFBench | 31.0% | 28.6% |
| TAU-bench v2 | — | 16.4% |
| TerminalBench Hard | — | 0.8% |
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.
GPT-4o mini has the strongest reasoning profile with a 25.6 reasoning score, combining the available reasoning-heavy benchmarks.
Llama 3.1 Instruct 8B reaches a 4.9 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
GPT-4o mini
- Complex reasoning tasks
- Research & analysis
Llama 3.1 Instruct 8B
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
