Llama 3.1 70B vs GPT-5 Mini
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Llama 3.1 70B | GPT-5 Mini |
|---|---|---|
| Provider | Meta | OpenAI |
| Input Price | $0.23 /1M tokens | $0.25 /1M tokens |
| Output Price | $0.4 /1M tokens | $2 /1M tokens |
| Cached Input | $0.023 /1M tokens | $0.025 /1M tokens |
| Context Window | 128K | 400K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 70B | GPT-5 Mini |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: Llama 3.1 70B is 8% cheaper on input tokens ($0.23 vs $0.25 per 1M tokens).
Context-heavy tasks: GPT-5 Mini offers a larger context window (400K vs 128K), making it better for long documents or conversations.
Capability fit: Llama 3.1 70B supports 2 capabilities (coding, multilingual), while GPT-5 Mini supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Llama 3.1 70B or GPT-5 Mini?
Llama 3.1 70B costs $0.23/1M input vs GPT-5 Mini at $0.25/1M input. Llama 3.1 70B is 8% cheaper on input tokens.
How do output prices compare between Llama 3.1 70B and GPT-5 Mini?
Llama 3.1 70B output: $0.4/1M, GPT-5 Mini output: $2/1M. Llama 3.1 70B is more economical for generation-heavy workloads.
What is Llama 3.1 70B best used for?
Llama 3.1 70B is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is GPT-5 Mini best used for?
GPT-5 Mini is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.