Context Window
16,384
Tokens
Model Cost Profile
Developer: meta-llama
Pricing updated Mar 10, 2026
Live Pricing
Input: $0.0200
Output: $0.0500
Pricing via OpenRouter API ยท Last synced Mar 10, 2026 ยท MMLU score via public benchmark data
Meta: Llama 3.1 8B Instruct is designed for applications requiring extensive context, making it ideal for complex conversational agents, content generation, and data analysis tasks. With a context window of 16,384 tokens, teams can efficiently handle longer inputs and outputs, enhancing the model's ability to maintain coherence in extended dialogues. The pricing structure, at $0.02 per million tokens for input and $0.05 for output, allows teams to budget effectively based on their usage patterns while optimizing costs for high-volume applications.
Context Window
16,384
Tokens
Input Price / 1M
$0.0200
Prompt tokens
Output Price / 1M
$0.0500
Completion tokens
Intelligence (MMLU)
47.6
Massive Multitask Language Understanding
Standardized evaluation scores for Meta: Llama 3.1 8B Instruct.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0200 |
| Output (Completion) | $0.0500 |
Price History
Current Input / 1M
$0.0200
Current Output / 1M
$0.0500
Estimate monthly spend for Meta: Llama 3.1 8B Instruct based on your workload.
Estimated Monthly Cost
$1.10
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Meta: Llama 3.1 8B Instruct.
Meta: Llama 3.1 8B Instruct input pricing is $0.0200 per 1M tokens based on the latest synced provider data.
Meta: Llama 3.1 8B Instruct output pricing is $0.0500 per 1M tokens based on the latest synced provider data.
Meta: Llama 3.1 8B Instruct supports a context window of 16,384 tokens.
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.