Llama 3.3 70B Instruct
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- $0.100
- Output, $ per 1M tokens
- $0.320
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 12/06/2024
- Knowledge cutoff
- 2023-12
- API id
- meta-llama/llama-3.3-70b-instruct
Summary from the data
Llama 3.3 70B Instruct is a Meta model available by API since 12/06/2024. It costs $0.100 per million input tokens and $0.320 per million output tokens, accepts 131 K tokens of context and generates up to 16 K tokens per response. Input: text; output: text. It has no reasoning mode. It supports tool calling. With 10,000 requests a month of 1,500 input and 400 output tokens it would cost about $2.78 a month.
Compare Llama 3.3 70B Instruct with…
- Llama 3.3 70B Instruct vs Claude Sonnet 5.5
- Llama 3.3 70B Instruct vs DeepSeek V4.1 Flash
- Llama 3.3 70B Instruct vs Gemini 3.8 Flash
- Llama 3.3 70B Instruct vs Mistral Medium 3.5
- Llama 3.3 70B Instruct vs Kimi K3
- Llama 3.3 70B Instruct vs GPT-6.1 Sol
- Llama 3.3 70B Instruct vs Qwen3.8 Max Prime
- Llama 3.3 70B Instruct vs Grok 4.7
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Frequently asked questions
How much does Llama 3.3 70B Instruct cost per million tokens?
Llama 3.3 70B Instruct costs $0.100 per million input tokens and $0.320 per million output tokens (USD, list price). Cache read: not published. Batch tier: not published.
What context window does Llama 3.3 70B Instruct have?
Llama 3.3 70B Instruct accepts 131 K tokens of context per request and generates up to 16 K tokens per response.
Does Llama 3.3 70B Instruct accept images, audio or files?
Input: text. Output: text.
Does Llama 3.3 70B Instruct have a reasoning mode and tool calling?
It has no reasoning mode. It supports tool calling.
When was Llama 3.3 70B Instruct released and what is its knowledge cutoff?
Llama 3.3 70B Instruct has been available by API since 12/06/2024. Knowledge cutoff: 2023-12.
What would an app built on Llama 3.3 70B Instruct cost?
With 10,000 requests a month of 1,500 input and 400 output tokens, Llama 3.3 70B Instruct would cost about $2.78 a month at list price, without cache or batch discounts.
What is the API id of Llama 3.3 70B Instruct?
The id is meta-llama/llama-3.3-70b-instruct. It is the name passed in the model parameter of the API (or on OpenRouter).
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.