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Llama 3.1 8B vs Gemini 1.5 Flash ≤128k

Side-by-side comparison of pricing and capabilities

Input Price Comparison

Llama 3.1 8B (Input)
$0.05
Gemini 1.5 Flash ≤128k (Input)
$0.075
Llama 3.1 8B (Output)
$0.08
Gemini 1.5 Flash ≤128k (Output)
$0.3
AttributeLlama 3.1 8BGemini 1.5 Flash ≤128k
ProviderMetaGoogle
Input Price$0.05 /1M tokens$0.075 /1M tokens
Output Price$0.08 /1M tokens$0.3 /1M tokens
Cached Input$0.0050 /1M tokens$0.0075 /1M tokens
Context Window128K1.0M
Typechatchat
Statuscurrentdeprecated

Capability Comparison

CapabilityLlama 3.1 8BGemini 1.5 Flash ≤128k
multilingual
vision

Which should you choose?

Budget-conscious: Llama 3.1 8B is 33% cheaper on input tokens ($0.05 vs $0.075 per 1M tokens).

Context-heavy tasks: Gemini 1.5 Flash ≤128k offers a larger context window (1.0M vs 128K), making it better for long documents or conversations.

Capability fit: Llama 3.1 8B supports 1 capabilities (multilingual), while Gemini 1.5 Flash ≤128k supports 2 (vision, multilingual).

Frequently Asked Questions

Which is cheaper: Llama 3.1 8B or Gemini 1.5 Flash ≤128k?

Llama 3.1 8B costs $0.05/1M input vs Gemini 1.5 Flash ≤128k at $0.075/1M input. Llama 3.1 8B is 33% cheaper on input tokens.

How do output prices compare between Llama 3.1 8B and Gemini 1.5 Flash ≤128k?

Llama 3.1 8B output: $0.08/1M, Gemini 1.5 Flash ≤128k output: $0.3/1M. 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 Gemini 1.5 Flash ≤128k best used for?

Gemini 1.5 Flash ≤128k is suited for complex reasoning, analysis, and tasks that benefit from its vision and multilingual capabilities.

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