Gemini 1.5 Flash-8B ≤128k vs Llama 3.3 70B
Side-by-side comparison of pricing and capabilities
Gemini 1.5 Flash-8B ≤128k
Llama 3.3 70B
Input Price Comparison
| Attribute | Gemini 1.5 Flash-8B ≤128k | Llama 3.3 70B |
|---|---|---|
| Provider | Meta | |
| Input Price | $0.0375 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.15 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.0037 /1M tokens | $0.023 /1M tokens |
| Context Window | 1.0M | 128K |
| Type | chat | chat |
| Status | deprecated | current |
Capability Comparison
| Capability | Gemini 1.5 Flash-8B ≤128k | Llama 3.3 70B |
|---|---|---|
| multilingual | ||
| coding |
Which should you choose?
Budget-conscious: Gemini 1.5 Flash-8B ≤128k is 84% cheaper on input tokens ($0.0375 vs $0.23 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 3.3 70B supports 1 (coding).
Frequently Asked Questions
Which is cheaper: Gemini 1.5 Flash-8B ≤128k or Llama 3.3 70B?
Gemini 1.5 Flash-8B ≤128k costs $0.0375/1M input vs Llama 3.3 70B at $0.23/1M input. Gemini 1.5 Flash-8B ≤128k is 84% cheaper on input tokens.
How do output prices compare between Gemini 1.5 Flash-8B ≤128k and Llama 3.3 70B?
Gemini 1.5 Flash-8B ≤128k output: $0.15/1M, Llama 3.3 70B output: $0.4/1M. Gemini 1.5 Flash-8B ≤128k 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 3.3 70B best used for?
Llama 3.3 70B is suited for complex reasoning, analysis, and tasks that benefit from its coding capabilities.