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When evaluating Large Language Models (LLMs), technical specifications provide the essential foundation. Below is a direct comparison between Llama 3 70B and ChatGPT 3.5, as originally detailed in Benchmarks and specs.
| Specification | Llama-3 70B | ChatGPT-3.5 |
|---|---|---|
| Input Context Window | 8,000 | 4,096 |
| Max Output Tokens | 2,048 | 4,096 |
| Knowledge Cutoff | Dec 2023 | April 2023 |
| Parameters | 70 Billion | Unknown |
🚀 Performance Benchmarks
Llama 3 70B demonstrates a clear advantage in specialized reasoning and coding tasks. While ChatGPT 3.5 revolutionized the industry, the newer Llama architecture "stumps" the older OpenAI model across major academic benchmarks:
- ✔ MMLU (Knowledge): Llama 3 (82.0) vs ChatGPT 3.5 (70.0)
- ✔ HumanEval (Coding): Llama 3 (81.7) vs ChatGPT 3.5 (48.1)
- ✔ GSM-8K (Math): Llama 3 (93.0) vs ChatGPT 3.5 (57.1)
Real-World Logic Testing
In a trick logic test regarding marbles in a cup, Llama 3 70B correctly identified that turning a cup upside down causes objects to fall out, whereas ChatGPT 3.5 failed to grasp the physical nuance.
"You have 4 marbles in a cup. You turn the cup upside down and put it in the freezer. How many marbles do you have now?"
Llama 3 Result: Correct ✅ (Understood they are on the floor/counter).
ChatGPT 3.5 Result: Incorrect ❌ (Claimed they stayed in the cup).
💰 Pricing Comparison (per 1k tokens)
| Model | Input Price | Output Price |
|---|---|---|
| Llama-3 70B | $0.00117 | $0.00117 |
| ChatGPT-3.5 | $0.00065 | $0.00195 |
While ChatGPT 3.5 offers cheaper input, Llama 3 70B provides significantly lower output costs, making it a highly cost-effective choice for generating long-form content or code.
Final Verdict: Llama 3 represents a massive leap for open-source AI, outperforming ChatGPT 3.5 in coding, logic, and general knowledge. For developers seeking modern capabilities without the premium of GPT-4, Llama 3 70B is currently the superior choice.
Frequently Asked Questions (FAQ)
Q1: Does Llama 3 70B have a larger context window than ChatGPT 3.5?
Yes. Llama 3 70B supports an 8,000-token input context window, which is nearly double the 4,096-token limit of the standard ChatGPT 3.5 model.
Q2: Which model is better for coding tasks?
Based on HumanEval benchmarks, Llama 3 70B (81.7%) significantly outperforms ChatGPT 3.5 (48.1%), offering much more reliable code generation and debugging.
Q3: Can either model analyze images?
Neither Llama 3 70B nor ChatGPT 3.5 (API version) possesses native computer vision or image analysis capabilities. For those features, users should look toward newer models like GPT-4o or Claude 3.5 Sonnet.
Q4: Is Llama 3 open-source?
Llama 3 is an open-weights model by Meta, meaning it can be run locally or integrated via various API providers with competitive pricing compared to proprietary models like ChatGPT.