Meta · Released Dec 6, 2024Llama-3.3-70B-Instruct
Popular open Llama workhorse for multilingual chat, coding, and self-hosting.
- Capability
- 127.3ECI · #133 of 148
- Input
- $0.59per 1M tokens
- Output
- $0.724per 1M tokens
- Context
- 128K4K max output
What it costs
- Input
- $0.59per million tokens
- Output
- $0.724per million tokens
- Blended (3:1)
- $0.624cheaper than 55% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $1.54 |
| Team assistant25M input + 5M output tokens | $18.37 |
| Production app250M input + 50M output tokens | $183.70 |
Median of 21 paid API providers on models.dev; Meta also offers it free on Llama.
Independent benchmarks
#133 of 148 scored models
The shaded band is Epoch AI’s confidence range (122.5–129.5); the tick marks the median scored model.
Scores from Epoch AI, run independently of Meta.
The details
- Lab
- Meta
- Released
- Dec 6, 2024
- Knowledge cutoff
- Dec 2023
- Context window
- 128,000 tokens
- Max output
- 4,096 tokens
- Inputs
- Text
- Output
- Text
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- No
- Weights
- Open weights
- API model ID
llama-3.3-70b-instructon Llama- Availability
- 24 API providerslisted on models.dev
What Meta claims
Published by the lab at launch. Settings vary, so compare these only with care.
More from Meta
About Llama-3.3-70B-Instruct
How much does Llama-3.3-70B-Instruct cost?
Llama-3.3-70B-Instruct costs $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). At a 3:1 input-to-output mix that is $0.624 per million tokens, cheaper than 55% of the 360 priced models we track.
What is the context window of Llama-3.3-70B-Instruct?
Llama-3.3-70B-Instruct accepts up to 128,000 tokens per request and can write up to 4,096 tokens in one response.
How good is Llama-3.3-70B-Instruct?
Epoch AI gives Llama-3.3-70B-Instruct a Capabilities Index score of 127.3 (likely range 122.5–129.5), ranking it #133 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 47.4%, OTIS Mock AIME 2024–2025 5.1%.
Is Llama-3.3-70B-Instruct open source?
Yes. Meta publishes the weights, so it can be downloaded and self-hosted.
What inputs does Llama-3.3-70B-Instruct support?
Llama-3.3-70B-Instruct accepts text and replies in text. It is not a dedicated reasoning model, supports tool calling.
When was Llama-3.3-70B-Instruct released?
Meta released Llama-3.3-70B-Instruct on Dec 6, 2024. Its training data runs to Dec 2023.
What are the best alternatives to Llama-3.3-70B-Instruct?
The closest current models from other labs on capability, price and release date are Mistral Small 3.1 24B (Mistral AI, ECI 127.5, $0.229 / $0.436), Qwen2.5 32B Instruct (Alibaba (Qwen), ECI 128.5, $0.70 / $2.80), DeepSeek-V3 (DeepSeek, ECI 132.3, $0.32 / $1.10) and Claude Haiku 3.5 (Anthropic, ECI 127.2).