Llama 3.1 8B vs Codestral
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Llama 3.1 8B | Codestral |
|---|---|---|
| Provider | Meta | Mistral AI |
| Input Price | $0.05 /1M tokens | $0.3 /1M tokens |
| Output Price | $0.08 /1M tokens | $0.9 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.030 /1M tokens |
| Context Window | 128K | 256K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 8B | Codestral |
|---|---|---|
| multilingual | ||
| coding |
Which should you choose?
Budget-conscious: Llama 3.1 8B is 83% cheaper on input tokens ($0.05 vs $0.3 per 1M tokens).
Context-heavy tasks: Codestral offers a larger context window (256K vs 128K), making it better for long documents or conversations.
Capability fit: Llama 3.1 8B supports 1 capabilities (multilingual), while Codestral supports 1 (coding).
Frequently Asked Questions
Which is cheaper: Llama 3.1 8B or Codestral?
Llama 3.1 8B costs $0.05/1M input vs Codestral at $0.3/1M input. Llama 3.1 8B is 83% cheaper on input tokens.
How do output prices compare between Llama 3.1 8B and Codestral?
Llama 3.1 8B output: $0.08/1M, Codestral output: $0.9/1M. 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 Codestral best used for?
Codestral is suited for complex reasoning, analysis, and tasks that benefit from its coding capabilities.