GPT-5 Nano vs Llama 3.1 70B
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | GPT-5 Nano | Llama 3.1 70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Input Price | $0.05 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.4 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.023 /1M tokens |
| Context Window | 400K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | GPT-5 Nano | Llama 3.1 70B |
|---|---|---|
| multilingual | ||
| coding |
Which should you choose?
Budget-conscious: GPT-5 Nano is 78% cheaper on input tokens ($0.05 vs $0.23 per 1M tokens).
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 70B supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: GPT-5 Nano or Llama 3.1 70B?
GPT-5 Nano costs $0.05/1M input vs Llama 3.1 70B at $0.23/1M input. GPT-5 Nano is 78% cheaper on input tokens.
How do output prices compare between GPT-5 Nano and Llama 3.1 70B?
GPT-5 Nano output: $0.4/1M, Llama 3.1 70B output: $0.4/1M. Llama 3.1 70B 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 70B best used for?
Llama 3.1 70B is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.