GPT-3.5 Turbo 16k vs Llama 3.1 8B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-3.5 Turbo 16k vs. Llama 3.1 8B Instruct
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Overview
GPT-3.5 Turbo 16k was released 11 months before Llama 3.1 8B Instruct.
 GPT-3.5 Turbo 16k |  Llama 3.1 8B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Meta |
Input Context Window Maximum input tokens this model can process at once | 16.4K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4.1K tokens | 131.1K tokens |
Release Date When this model first became publicly available | August 28, 2023 2 years ago August 28th, 2023 | July 23, 2024 2 years ago July 23rd, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | September 30, 2021 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-3.5 Turbo 16k | Llama 3.1 8B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-3.5 Turbo 16k is roughly 60.0x more expensive compared to Llama 3.1 8B Instruct for input tokens and roughly 50.0x more expensive for output tokens.
| GPT-3.5 Turbo 16k | Llama 3.1 8B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $3.00 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $4.00 per million tokens | $0.08 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo 16k and Llama 3.1 8B Instruct.
| GPT-3.5 Turbo 16k | Llama 3.1 8B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 7.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 5.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 0.5 (Artificial Analysis index; higher is better) |
At a Glance
Quick overview of what makes GPT-3.5 Turbo 16k and Llama 3.1 8B Instruct unique.
GPT-3.5 Turbo 16k by OpenAI can use external tools and APIs, generates structured data. It can handle standard conversations with its 16.4K token context window. Reasonably priced at $3.00/M input and $4.00/M output tokens. Released August 28th, 2023.Llama 3.1 8B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.05/M input and $0.08/M output tokens. Released July 23rd, 2024.Explore More Comparisons
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Compare Llama 3.1 8B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks