Gemini 1.5 Flash-8B ≤128k vs Llama 3.1 8B
Side-by-side comparison of pricing and capabilities
Gemini 1.5 Flash-8B ≤128k
Llama 3.1 8B
Input Price Comparison
| Attribute | Gemini 1.5 Flash-8B ≤128k | Llama 3.1 8B |
|---|---|---|
| Provider | Meta | |
| Input Price | $0.0375 /1M tokens | $0.05 /1M tokens |
| Output Price | $0.15 /1M tokens | $0.08 /1M tokens |
| Cached Input | $0.0037 /1M tokens | $0.0050 /1M tokens |
| Context Window | 1.0M | 128K |
| Type | chat | chat |
| Status | deprecated | current |
Capability Comparison
| Capability | Gemini 1.5 Flash-8B ≤128k | Llama 3.1 8B |
|---|---|---|
| multilingual |
Which should you choose?
Budget-conscious: Gemini 1.5 Flash-8B ≤128k is 25% cheaper on input tokens ($0.0375 vs $0.05 per 1M tokens).
Context-heavy tasks: Gemini 1.5 Flash-8B ≤128k offers a larger context window (1.0M vs 128K), making it better for long documents or conversations.
Capability fit: Gemini 1.5 Flash-8B ≤128k supports 1 capabilities (multilingual), while Llama 3.1 8B supports 1 (multilingual).
Frequently Asked Questions
Which is cheaper: Gemini 1.5 Flash-8B ≤128k or Llama 3.1 8B?
Gemini 1.5 Flash-8B ≤128k costs $0.0375/1M input vs Llama 3.1 8B at $0.05/1M input. Gemini 1.5 Flash-8B ≤128k is 25% cheaper on input tokens.
How do output prices compare between Gemini 1.5 Flash-8B ≤128k and Llama 3.1 8B?
Gemini 1.5 Flash-8B ≤128k output: $0.15/1M, Llama 3.1 8B output: $0.08/1M. Llama 3.1 8B is more economical for generation-heavy workloads.
What is Gemini 1.5 Flash-8B ≤128k best used for?
Gemini 1.5 Flash-8B ≤128k is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Llama 3.1 8B best used for?
Llama 3.1 8B is suited for complex reasoning, analysis, and tasks that benefit from its multilingual capabilities.