Llama 3.1 8B vs Llama 3.3 70B
Side-by-side comparison of pricing and capabilities
Llama 3.1 8B
Llama 3.3 70B
Input Price Comparison
| Attribute | Llama 3.1 8B | Llama 3.3 70B |
|---|---|---|
| Provider | Meta | Meta |
| Input Price | $0.05 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.08 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.023 /1M tokens |
| Context Window | 128K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 8B | Llama 3.3 70B |
|---|---|---|
| multilingual | ||
| coding |
Which should you choose?
Budget-conscious: Llama 3.1 8B is 78% cheaper on input tokens ($0.05 vs $0.23 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: Llama 3.1 8B supports 1 capabilities (multilingual), while Llama 3.3 70B supports 1 (coding).
Frequently Asked Questions
Which is cheaper: Llama 3.1 8B or Llama 3.3 70B?
Llama 3.1 8B costs $0.05/1M input vs Llama 3.3 70B at $0.23/1M input. Llama 3.1 8B is 78% cheaper on input tokens.
How do output prices compare between Llama 3.1 8B and Llama 3.3 70B?
Llama 3.1 8B output: $0.08/1M, Llama 3.3 70B output: $0.4/1M. Llama 3.1 8B is more economical for generation-heavy workloads.
What is Llama 3.1 8B best used for?
Llama 3.1 8B 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.