Model Comparison
GPT-4o mini Realtime (Dec '24)
vs. Llama 3.1 Instruct 8B
Comparing 2 AI models · 12 benchmarks · OpenAI, Meta
Recommended Pick
Op GPT-4o mini Realtime (Dec '24) 4 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
GPT-4o mini Realtime (Dec '24)
$0.00/1M input price
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
Price gap
GPT-4o mini Realtime (Dec '24) is ∞x cheaper on input tokens than Llama 3.1 Instruct 8B.
Top-pick rationale
GPT-4o mini Realtime (Dec '24) wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o mini Realtime (Dec '24)
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 Realtime (Dec '24) | Me Llama 3.1 Instruct 8B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.10/1M |
| Output Cost | $0.00/1M | $0.10/1M |
| Blended (3:1) | — | $0.10/1M |
| Specifications | ||
| Organization | OpenAI | Meta |
| Release Date | Dec 17, 2024 | Jul 23, 2024 |
| Performance & Speed | ||
| Throughput | — | 205.1 tok/s |
| TTFT | — | 564ms |
| Latency | — | 564ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 15.9 |
| Intelligence | — | 11.8 |
| Coding | — | 4.9 |
| Math | — | 4.3 |
| Standard Benchmarks | ||
| GPQA | — | 25.9% |
| MMLU Pro | — | 47.6% |
| HLE | — | 5.1% |
| LiveCodeBench | — | 11.6% |
| MATH 500 | — | 51.9% |
| AIME 2025 | — | 4.3% |
| AIME (Original) | — | 7.7% |
| SciCode | — | 13.2% |
| LCR | — | 15.7% |
| IFBench | — | 28.6% |
| TAU-bench v2 | — | 16.4% |
| TerminalBench Hard | — | 0.8% |
Key Takeaways
GPT-4o mini Realtime (Dec '24) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
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 Realtime (Dec '24)
- Cost-sensitive applications
- High-volume processing
Llama 3.1 Instruct 8B
- Code generation
- Software development
