Llama 3.1 70B vs Llama 3.3 70B
Side-by-side comparison of pricing and capabilities
Llama 3.1 70B
Llama 3.3 70B
Input Price Comparison
| Attribute | Llama 3.1 70B | Llama 3.3 70B |
|---|---|---|
| Provider | Meta | Meta |
| Input Price | $0.23 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.4 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.023 /1M tokens | $0.023 /1M tokens |
| Context Window | 128K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 70B | Llama 3.3 70B |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: Llama 3.1 70B is 0% cheaper on input tokens ($0.23 vs $0.23 per 1M tokens). Both models have the same input price.
Context-heavy tasks: Both models offer the same context window size.
Capability fit: Llama 3.1 70B supports 2 capabilities (coding, multilingual), while Llama 3.3 70B supports 1 (coding).
Frequently Asked Questions
Which is cheaper: Llama 3.1 70B or Llama 3.3 70B?
Llama 3.1 70B costs $0.23/1M input vs Llama 3.3 70B at $0.23/1M input. Llama 3.1 70B is 0% cheaper on input tokens.
How do output prices compare between Llama 3.1 70B and Llama 3.3 70B?
Llama 3.1 70B output: $0.4/1M, Llama 3.3 70B output: $0.4/1M. Llama 3.3 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 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.