Llama 3.1 70B vs Codestral
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Llama 3.1 70B | Codestral |
|---|---|---|
| Provider | Meta | Mistral AI |
| Input Price | $0.23 /1M tokens | $0.3 /1M tokens |
| Output Price | $0.4 /1M tokens | $0.9 /1M tokens |
| Cached Input | $0.023 /1M tokens | $0.030 /1M tokens |
| Context Window | 128K | 256K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 70B | Codestral |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: Llama 3.1 70B is 23% cheaper on input tokens ($0.23 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 70B supports 2 capabilities (coding, multilingual), while Codestral supports 1 (coding).
Frequently Asked Questions
Which is cheaper: Llama 3.1 70B or Codestral?
Llama 3.1 70B costs $0.23/1M input vs Codestral at $0.3/1M input. Llama 3.1 70B is 23% cheaper on input tokens.
How do output prices compare between Llama 3.1 70B and Codestral?
Llama 3.1 70B output: $0.4/1M, Codestral output: $0.9/1M. Llama 3.1 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 Codestral best used for?
Codestral is suited for complex reasoning, analysis, and tasks that benefit from its coding capabilities.