GPT-4o Mini vs Llama 3.3 70B
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | GPT-4o Mini | Llama 3.3 70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Input Price | $0.15 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.6 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.075 /1M tokens | $0.023 /1M tokens |
| Context Window | 128K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | GPT-4o Mini | Llama 3.3 70B |
|---|---|---|
| coding | ||
| vision | ||
| multilingual |
Which should you choose?
Budget-conscious: GPT-4o Mini is 35% cheaper on input tokens ($0.15 vs $0.23 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: GPT-4o Mini supports 3 capabilities (coding, vision, multilingual), while Llama 3.3 70B supports 1 (coding).
Frequently Asked Questions
Which is cheaper: GPT-4o Mini or Llama 3.3 70B?
GPT-4o Mini costs $0.15/1M input vs Llama 3.3 70B at $0.23/1M input. GPT-4o Mini is 35% cheaper on input tokens.
How do output prices compare between GPT-4o Mini and Llama 3.3 70B?
GPT-4o Mini output: $0.6/1M, Llama 3.3 70B output: $0.4/1M. Llama 3.3 70B is more economical for generation-heavy workloads.
What is GPT-4o Mini best used for?
GPT-4o Mini is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Llama 3.3 70B best used for?
Llama 3.3 70B is suited for complex reasoning, analysis, and tasks that benefit from its coding capabilities.