meta-llama/Llama-3.3-70B-Instruct-Turbo:flexDeepInfra Inc.
- api
- chat
- hosting
- US
- model lab
- Meta
- weights
- open
- added
- December 2024
- model id
- deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo:flex
capabilities 1/8
- input
- $0.08
- output
- $0.26
- cache write
- -
- cache read
- -
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0106 |
| 1M in + 100K out | $0.11 |
| 10M in + 1M out | $1.06 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results
- retention
- none
- trains on prompts
- no
- hosted in
- US
Terms are the provider's, not Requesty's: routing a request here puts it under them. DeepInfra Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo:flexthis id pins the deepinfra inc. deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo:flex", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.
questions 5
How much does meta-llama/Llama-3.3-70B-Instruct-Turbo:flex cost?
What is the context window of meta-llama/Llama-3.3-70B-Instruct-Turbo:flex?
What can meta-llama/Llama-3.3-70B-Instruct-Turbo:flex do?
How do I use meta-llama/Llama-3.3-70B-Instruct-Turbo:flex with the OpenAI SDK?
Can I run meta-llama/Llama-3.3-70B-Instruct-Turbo:flex through Requesty?
more from deepinfra inc. 8
| endpoint | ctx | in /M |
|---|---|---|
| glm-5.3-flash | 1.0M | $0.15 |
| glm-5.3 | 1.0M | $1.20 |
| deepseek-v4-pro-0813 | 1.0M | $1.30 |
| qwen3.8 | 262K | $2.00 |
| deepseek-v4-flash-0731 | 1.0M | $0.09 |
| deepseek-v4-flash-0731:flex | 1.0M | $0.07 |
| glm-5.2 | 262K | $0.75 |
| glm-5.2:flex | 1M | $0.60 |
call meta-llama/llama-3.3-70b-instruct-turbo:flex through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology