GPT-4o-mini vs Llama 3.1 8B Instruct (Comparative Analysis)
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Comparative Analysis: GPT-4o-mini vs. Llama 3.1 8B Instruct
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Overview
GPT-4o-mini was released 5 days before Llama 3.1 8B Instruct.
 GPT-4o-mini |  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 | 128K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 131.1K tokens |
Release Date When this model first became publicly available | July 18, 2024 2 years ago July 18th, 2024 | July 23, 2024 2 years ago July 23rd, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4o-mini | Llama 3.1 8B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4o-mini is roughly 3.0x more expensive compared to Llama 3.1 8B Instruct for input tokens and roughly 7.5x more expensive for output tokens.
| GPT-4o-mini | Llama 3.1 8B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $0.08 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.07 per million tokens | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4o-mini and Llama 3.1 8B Instruct.
| GPT-4o-mini | 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 | 11.4 (Artificial Analysis index; higher is better) | 5.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 1 (Artificial Analysis index; higher is better) | 0.5 (Artificial Analysis index; higher is better) |
At a Glance
Quick overview of what makes GPT-4o-mini and Llama 3.1 8B Instruct unique.
GPT-4o-mini by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.15/M input and $0.60/M output tokens. Includes built-in content moderation for safer outputs. Released July 18th, 2024.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