meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo
Open-weights chat model from Meta. One API key reaches this provider and every other model in the catalog.
No card required. Start with 1 million free tokens.
About meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo
meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo is an open-weights chat model published by Meta, with a 131,072-token context window. Through TrustedRouter it runs on 1 provider, with options in the US and EU, from $0.021 per million input tokens.
- Model ID
meta-llama/meta-llama-3.1-8b-instruct-turbo- Publisher
- Meta
- Modes
- chat
- Billing
- Credits
Set it up with your agent
Paste this into Claude Code, Cursor or any coding agent.
Use meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo through TrustedRouter in this project.
1. Read https://trustedrouter.com/llms.txt
2. Point the OpenAI-compatible client at
https://api.trustedrouter.com/v1 and read the key from
TRUSTEDROUTER_API_KEY.
3. Set the model to meta-llama/meta-llama-3.1-8b-instruct-turbo.
4. Run the tests, then show me the diff before committing.import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="meta-llama/meta-llama-3.1-8b-instruct-turbo",
messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(response.choices[0].message.content)curl https://api.trustedrouter.com/v1/chat/completions \
-H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/meta-llama-3.1-8b-instruct-turbo",
"messages": [{"role": "user", "content": "What is the capital of France?"}]
}'Providers
Open the row for retention, location and weight format, or see how we check privacy claims and the live speed leaderboard.
| Provider | Input | Cached | Output | Cost per 1M in + out | Details |
|---|---|---|---|---|---|
DeepInfra
|
$0.0211 | — | $0.0422 | $0.063 | |
|
Retention Verification: no verified privacy claim. Tracked as no-store, not strict ZDR. DeepInfra documents memory-only handling and no training for ordinary inference, but reserves the right to log a small portion of requests for debugging or security. Google- and Anthropic-backed routes also inherit those vendors' terms. Location Operator country: US Headquarters / registered office: Palo Alto, California, United States. Company location source (reviewed 2026-09-27). Inference: US infrastructure plus announced Canadian capacity; model-specific residency unconfirmed. DeepInfra describes US infrastructure and announced its first international data center in Toronto on July 8, 2026. This is a provider footprint, not an exhaustive or model-specific placement list. DeepSeek V4.1 Flash placement has not been confirmed; do not declare this route US-only. Region pinning through TR: Not supported by the current TrustedRouter integration. Reviewed 2026-09-27. DeepInfra infrastructure statement Weight format Unknown Price and speed Input $0.0211/1M · Cached input Not published · Output $0.0422/1M TTFT: insufficient data Speed: insufficient data |
|||||
Questions
What model ID should I use for meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo?
Use meta-llama/meta-llama-3.1-8b-instruct-turbo as the model field with the TrustedRouter OpenAI-compatible API. Credits routing and provider fallback happen behind that model ID.
Do you log my prompts or outputs?
No. Prompt and output content are intentionally excluded from the control plane and metadata systems. Optional content export requires explicit destination-level configuration.
Which providers serve meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo?
TrustedRouter currently lists DeepInfra for meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo. Provider availability and routing eligibility can change as catalog and health data update.
How much does meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo cost through TrustedRouter?
The current lowest Credits input price is $0.0211/1M and the lowest Credits output price is $0.0422/1M. Prices are per one million tokens and come from the current route catalog.
How do I require zero data retention for meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo?
Set provider.min_privacy to zdr on the request. TrustedRouter considers only routes with a recorded zero-data-retention posture and fails closed if no eligible route remains.
meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo vs other models
Start building with meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo.
No card required. Start with 1 million free tokens.