Meta model product
Llama 3.3 70B
3 is a multilingual large language model optimized for dialogue use cases across multiple languages.
Updated Aug 12, 2026. Default version: Llama 3.3 70B Instruct
LLMBoard score22.1Llama 3.3 70B Instruct
Coverage100%8 benchmark families
Context window128KTokens
Official input priceN/AOfficial price unavailable
Llama 3.3 70B Specifications
Technical details for the model's default version.
- Version
- Llama 3.3 70B Instruct
- Released
- Dec 6, 2024
- Knowledge cutoff
- Dec 1, 2023
- Parameters
- 70B
- Context window
- 128K
- Max output
- 4.1K
- Inputs
- text
- Outputs
- text
- Open weights
- Yes
- License
- Llama 3.3 Community License Agreement
Llama 3.3 70B Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Llama 3.3 70B Arena Results
Preference and agent-evaluation results for the default version.
| text style control | overall | 235 | 1318.2 | 54,776 | N/A | |
| text | overall | 246 | 1274.9 | 54,776 | N/A |
Llama 3.3 70B Runtime Performance
Provider-specific output speed and catalog latency for Llama 3.3 70B Instruct. Runtime does not affect the capability score.
| Cerebras | 2,220 tok/s | 0.65 s | 128K | 128K | |
| Sambanova | 1,096 tok/s | 0.65 s | 128K | 128K | |
| Groq | 268 tok/s | 0.65 s | 128K | 128K | |
| Fireworks | 197 tok/s | 0.65 s | 128K | 128K | |
| Bedrock | 100 tok/s | 0.5 s | 128K | 128K | |
| Together | 65 tok/s | 0.65 s | 128K | 128K | |
| Lambda | 42 tok/s | 0.65 s | 128K | 128K | |
| Hyperbolic | 42 tok/s | 0.65 s | 128K | 128K | |
| DeepInfra | 37 tok/s | 0.65 s | 128K | 128K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Llama 3.3 70B Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.05 input, $0.23 output per 1M via NanoGPT
- Tracked offerings
- 32
| Nvidia | meta/llama-3.3-70b-instruct | global | N/A | N/A | 128K | |
| Llama | llama-3.3-70b-instruct | global | N/A | N/A | 128K | |
| Vercel AI Gateway | meta/llama-3.3-70b | global | N/A | N/A | 128K | |
| NanoGPT | meta-llama/llama-3.3-70b-instruct | global | $0.05 | $0.23 | 131.1K | |
| Kilo Gateway | meta-llama/llama-3.3-70b-instruct | global | $0.10 | $0.32 | 131.1K | |
| OpenRouter | meta-llama/llama-3.3-70b-instruct | global | $0.10 | $0.32 | 131.1K | |
| Meganova | meta-llama/Llama-3.3-70B-Instruct | global | $0.10 | $0.30 | 131.1K | |
| Cortecs | llama-3.3-70b-instruct | global | $0.129 | $0.399 | 131K | |
| Nebius Token Factory | meta-llama/Llama-3.3-70B-Instruct | global | $0.13 | $0.40 | 128K | |
| LLM Gateway | llama-3.3-70b-instruct | global | $0.13 | $0.40 | 131.1K | |
| Helicone | llama-3.3-70b-instruct | global | $0.13 | $0.39 | 128K | |
| IO.NET | meta-llama/Llama-3.3-70B-Instruct | global | $0.13 | $0.38 | 128K | |
| NovitaAI | meta-llama/llama-3.3-70b-instruct | global | $0.135 | $0.40 | 131.1K | |
| Merge Gateway | meta/llama-3.3-70b-instruct | global | $0.22 | $0.50 | 131.1K | |
| Neon | meta-llama-3-3-70b-instruct | global | $0.50 | $1.5 | 128K | |
| Abacus | meta-llama/Meta-Llama-3.3-70B-Instruct | global | $0.59 | $0.79 | 131.1K | |
| Hugging Face | meta-llama/Llama-3.3-70B-Instruct | global | $0.59 | $0.79 | 131.1K | |
| Charm Hyper | llama-3.3-70b-instruct | global | $0.598 | $0.738 | 128K | |
| Regolo AI | llama-3.3-70b-instruct | global | $0.60 | $2.7 | 128K | |
| Azure Cognitive Services | llama-3.3-70b-instruct | global | $0.71 | $0.71 | 128K | |
| Azure | llama-3.3-70b-instruct | global | $0.71 | $0.71 | 128K | |
| Vertex | meta/llama-3.3-70b-instruct-maas | global | $0.72 | $0.72 | 128K | |
| Amazon Bedrock | meta.llama3-3-70b-instruct-v1:0 | global | $0.72 | $0.72 | 128K | |
| watsonx.ai | meta-llama/llama-3-3-70b-instruct | global | $0.7526 | $0.7526 | 131.1K | |
| Pioneer | meta-llama/Llama-3.3-70B-Instruct | global | $0.90 | $0.90 | 131.1K | |
| Scaleway | llama-3.3-70b-instruct | global | $0.90 | $0.90 | 100K | |
| Berget.AI | meta-llama/Llama-3.3-70B-Instruct | global | $0.99 | $0.99 | 128K | |
| evroc | nvidia/Llama-3.3-70B-Instruct-FP8 | global | $1.15 | $1.15 | 128K | |
| GreenPT | llama-3.3-70b-instruct | global | $1.25 | $1.25 | 100K | |
| Tinfoil | llama3-3-70b | global | $1.75 | $2.75 | 128K | |
| CloudFerro Sherlock | meta-llama/Llama-3.3-70B-Instruct | global | $2.92 | $2.92 | 70K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Llama 3.3 70B Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
| Llama 3.3 70B Instruct | 22.1 | 70B | 128K | 4.1K | Yes | Llama 3.3 Community License Agreement |
What is Llama 3.3 70B?
Key information about Llama 3.3 70B and its available data.
3 is a multilingual large language model optimized for dialogue use cases across multiple languages. It is a pretrained and instruction-tuned generative model with 70 billion parameters, outperforming many open-source and closed chat models on common industry benchmarks.
3 supports a context length of 128,000 tokens and is designed for commercial and research use in multiple languages.
Data as of 2026-08-11.
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FAQ
Common questions about Llama 3.3 70B.
When was Llama 3.3 70B released?
Llama 3.3 70B's default version was released on Dec 6, 2024.
How much does Llama 3.3 70B cost?
No official standard PAYG price is currently available for Llama 3.3 70B. The lowest tracked third-party offer starts at $0.05 input and $0.23 output via NanoGPT.
Who created Llama 3.3 70B?
Llama 3.3 70B was created by Meta.
What is the context window for Llama 3.3 70B?
The default version has a 128K token context window.
Is Llama 3.3 70B open weight?
Yes. The default version is marked as open weight under Llama 3.3 Community License Agreement.
How many API providers offer Llama 3.3 70B?
32 provider offerings are linked to the default version.
What models should I compare Llama 3.3 70B with?
Nearby ranked alternatives include Llama 3.3 Nemotron Super 49B, Qwen2.5 VL 72B, MiniCPM SALA.