Context Window
131,072
Tokens
Model Cost Profile
Developer: meta-llama
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.1000
Output: $0.3200
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Meta's Llama 3.3 70B Instruct model, developed by meta-llama, offers a substantial context window of 131,072 tokens, making it ideal for applications requiring extensive text comprehension and generation, such as legal document analysis and long-form content creation. With an input price of $0.10 per 1 million tokens and an output price of $0.32 per 1 million tokens, teams can effectively manage their budgets while leveraging the model's capabilities for complex tasks. This pricing structure allows organizations to scale their usage according to project demands, optimizing costs while enhancing productivity in data-intensive environments.
Context Window
131,072
Tokens
Input Price / 1M
$0.1000
Prompt tokens
Output Price / 1M
$0.3200
Completion tokens
Intelligence (MMLU)
71.3
Massive Multitask Language Understanding
Standardized evaluation scores for Meta: Llama 3.3 70B Instruct.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.1000 |
| Output (Completion) | $0.3200 |
Price History
Current Input / 1M
$0.1000
Current Output / 1M
$0.3200
Estimate monthly spend for Meta: Llama 3.3 70B Instruct based on your workload.
Estimated Monthly Cost
$6.34
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Meta: Llama 3.3 70B Instruct.
Meta: Llama 3.3 70B Instruct input pricing is $0.1000 per 1M tokens based on the latest synced provider data.
Meta: Llama 3.3 70B Instruct output pricing is $0.3200 per 1M tokens based on the latest synced provider data.
Meta: Llama 3.3 70B Instruct supports a context window of 131,072 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.