Llama 3.1 8B vs GPT-4o Mini
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Llama 3.1 8B | GPT-4o Mini |
|---|---|---|
| Provider | Meta | OpenAI |
| Input Price | $0.05 /1M tokens | $0.15 /1M tokens |
| Output Price | $0.08 /1M tokens | $0.6 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.075 /1M tokens |
| Context Window | 128K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 8B | GPT-4o Mini |
|---|---|---|
| multilingual | ||
| coding | ||
| vision |
Which should you choose?
Budget-conscious: Llama 3.1 8B is 67% cheaper on input tokens ($0.05 vs $0.15 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: Llama 3.1 8B supports 1 capabilities (multilingual), while GPT-4o Mini supports 3 (coding, vision, multilingual).
Frequently Asked Questions
Which is cheaper: Llama 3.1 8B or GPT-4o Mini?
Llama 3.1 8B costs $0.05/1M input vs GPT-4o Mini at $0.15/1M input. Llama 3.1 8B is 67% cheaper on input tokens.
How do output prices compare between Llama 3.1 8B and GPT-4o Mini?
Llama 3.1 8B output: $0.08/1M, GPT-4o Mini output: $0.6/1M. Llama 3.1 8B is more economical for generation-heavy workloads.
What is Llama 3.1 8B best used for?
Llama 3.1 8B is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is GPT-4o Mini best used for?
GPT-4o Mini is suited for complex reasoning, analysis, and tasks that benefit from its coding and vision capabilities.