GPT-5 Nano vs Llama 3.1 8B
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | GPT-5 Nano | Llama 3.1 8B |
|---|---|---|
| Provider | OpenAI | Meta |
| Input Price | $0.05 /1M tokens | $0.05 /1M tokens |
| Output Price | $0.4 /1M tokens | $0.08 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.0050 /1M tokens |
| Context Window | 400K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | GPT-5 Nano | Llama 3.1 8B |
|---|---|---|
| multilingual |
Which should you choose?
Budget-conscious: GPT-5 Nano is 0% cheaper on input tokens ($0.05 vs $0.05 per 1M tokens). Both models have the same input price.
Context-heavy tasks: GPT-5 Nano offers a larger context window (400K vs 128K), making it better for long documents or conversations.
Capability fit: GPT-5 Nano supports 1 capabilities (multilingual), while Llama 3.1 8B supports 1 (multilingual).
Frequently Asked Questions
Which is cheaper: GPT-5 Nano or Llama 3.1 8B?
GPT-5 Nano costs $0.05/1M input vs Llama 3.1 8B at $0.05/1M input. GPT-5 Nano is 0% cheaper on input tokens.
How do output prices compare between GPT-5 Nano and Llama 3.1 8B?
GPT-5 Nano output: $0.4/1M, Llama 3.1 8B output: $0.08/1M. Llama 3.1 8B is more economical for generation-heavy workloads.
What is GPT-5 Nano best used for?
GPT-5 Nano is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Llama 3.1 8B best used for?
Llama 3.1 8B is suited for complex reasoning, analysis, and tasks that benefit from its multilingual capabilities.