MetaOpen-weight·131K context·70B params·Llama 3 Community License
Llama 3.3 70B Instructmeta/llama-3-3-70b-instruct
Meta's Llama 3.3 70B Instruct matches or exceeds Llama 3.1 405B on several benchmarks at 6x smaller size. Most widely hosted open-weight model; available on every major inference platform at competitive per-token prices.
Cheapest blended:$0.88 / 1M tokenson Together.ai · 1 provider listed
Pricing across providers
Sort by:
| Provider | Input /1M | Output /1M | Blended /1M | Latency p50 | Format | Freshness | Action |
|---|---|---|---|---|---|---|---|
| Together.ai meta-llama/Llama-3.3-70B-Instruct-Turbo | $0.88 | $0.88 | $0.88 | 190ms | OpenAI-compatible | Verified 3d ago | Try → |
Affiliate disclosure: We may earn a commission from qualified signups. Pricing independence is enforced at the data layer — see our Editorial Independence Policy.
Works with
Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).
Capabilities
- chat
- coding
- reasoning
- multilingual
- long_context
Languages: en, de, fr, it, pt, hi, es, th
Benchmarks
Code samples
Example using Together.ai — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.together.xyz/v1",
)
response = client.chat.completions.create(
model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
Technical specs
- Context
- 131K
- Max output
- 4K
- Parameters
- 70B
- Release
- 2024-12-06
- Training cutoff
- 2023-12-01
- License
- Llama 3 Community License
Similar models
Compare with
- Llama 3.3 70B Instruct vs Qwen3 72B InstructComparison planned — not yet published
Frequently asked
How much does Llama 3.3 70B Instruct cost?+−
The cheapest public hosting is $0.88 per 1M blended tokens on Together.ai. 1 total providers are listed above with per-input / per-output / cached pricing.
Is Llama 3.3 70B Instruct open-source? Can I fine-tune it?+−
Yes. Llama 3.3 70B Instruct is open-weight under the Llama 3 Community License license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is Llama 3.3 70B Instruct OpenAI-compatible?+−
Most listed hostings expose an OpenAI-compatible API, so you can point an existing
openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.What's the maximum context window for Llama 3.3 70B Instruct?+−
The model supports up to 131,072 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.