meta-llama
Meta: Llama 3.1 70B Instruct
meta-llama/llama-3.1-70b-instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
- Type
- text
- Provider
- meta-llama
- Model ID
- meta-llama/llama-3.1-70b-instruct
- Capabilities
- tools
- Context window
- 131K tokens
- Self-hostable
- Yes — runs on your own GPU
- Input price
- $0.44 / 1M tokens
- Output price
- $0.44 / 1M tokens
Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.
What it costs to run
cloud · 1M in + 1M out
$0.88
$0.44 for a million input tokens plus $0.44 for a million output tokens, billed from credits only when a request fails over to the cloud.
your hardware
$0 / token
Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.
Run it on your own hardware
Estimated GPU memory for Meta: Llama 3.1 70B Instruct (70B parameters), for the weights alone — add room for the context cache.
- Q4_K_M
- ~40.5 GBfits a 48 GB card
- Q8_0
- ~69.9 GBfits a 80 GB card
- FP16 / BF16
- ~131.1 GBmulti-GPU or large unified memory
Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.
/// initialize
Call Meta: Llama 3.1 70B Instruct through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- What is the context window of Meta: Llama 3.1 70B Instruct?
- Meta: Llama 3.1 70B Instruct accepts up to 131,072 tokens (131K) of context per request.
- How much does Meta: Llama 3.1 70B Instruct cost per million tokens?
- Through Wide Area Intelligence, Meta: Llama 3.1 70B Instruct costs $0.44 per 1M input tokens and $0.44 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.88.
- Can I run Meta: Llama 3.1 70B Instruct on my own hardware?
- Yes — Meta: Llama 3.1 70B Instruct is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 40.5 GB of GPU memory, plus room for the context cache — it fits a single 48 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.
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