Meta model product
Llama 3.3 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. Llama 3.3 supports a context length of 128,000 tokens and is designed for commercial and research use in multiple languages.
Updated Aug 10, 2026. Default version: Llama 3.3 70B Instruct
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Preference and agent-evaluation signals from published Arena datasets.
| text style control | polish | 180 | 1317.3 | 1,428 | N/A | |
| text | polish | 193 | 1258.0 | 1,428 | N/A | |
| text | french | 196 | 1278.8 | 535 | N/A | |
| text style control | japanese | 198 | 1213.3 | 1,121 | N/A | |
| text | spanish | 201 | 1266.5 | 590 | N/A | |
| text | japanese | 203 | 1149.3 | 1,121 | N/A | |
| text style control | french | 203 | 1324.3 | 535 | N/A | |
| text style control | german | 205 | 1290.9 | 1,182 | N/A | |
| text | german | 206 | 1251.2 | 1,182 | N/A | |
| text style control | spanish | 210 | 1300.5 | 590 | N/A | |
| text style control | industry legal and government | 212 | 1341.7 | 3,173 | N/A | |
| text style control | korean | 216 | 1212.7 | 846 | N/A | |
| text style control | industry medicine and healthcare | 218 | 1340.5 | 2,746 | N/A | |
| text style control | english | 223 | 1344.0 | 30,128 | N/A | |
| text style control | industry life and physical and social science | 223 | 1340.2 | 9,373 | N/A | |
| text | korean | 224 | 1139.2 | 846 | N/A | |
| text style control | multi turn | 225 | 1317.2 | 9,135 | N/A | |
| text style control | industry entertainment and sports and media | 228 | 1285.5 | 9,737 | N/A | |
| text | industry medicine and healthcare | 229 | 1274.3 | 2,746 | N/A | |
| text style control | industry mathematical | 229 | 1301.8 | 5,231 | N/A | |
| text style control | math | 229 | 1296.0 | 5,772 | N/A | |
| text style control | creative writing | 230 | 1286.1 | 8,056 | N/A | |
| text | industry legal and government | 231 | 1283.9 | 3,173 | N/A | |
| text | english | 232 | 1304.1 | 30,128 | N/A | |
| text | multi turn | 232 | 1280.7 | 9,135 | N/A | |
| text style control | overall | 234 | 1318.3 | 54,698 | N/A | |
| text style control | exclude ties | 234 | 1262.4 | 36,895 | N/A | |
| text style control | expert | 234 | 1295.4 | 2,893 | N/A | |
| text style control | hard prompts english | 234 | 1338.1 | 10,078 | N/A | |
| text | creative writing | 238 | 1251.8 | 8,056 | N/A | |
| text | industry life and physical and social science | 240 | 1284.5 | 9,373 | N/A | |
| text | industry mathematical | 240 | 1267.3 | 5,231 | N/A | |
| text style control | hard prompts | 240 | 1320.7 | 17,004 | N/A | |
| text style control | industry business and management and financial operations | 240 | 1303.8 | 6,664 | N/A | |
| text | expert | 241 | 1224.2 | 2,893 | N/A | |
| text | industry entertainment and sports and media | 241 | 1241.8 | 9,737 | N/A | |
| text | math | 241 | 1267.5 | 5,772 | N/A | |
| text style control | russian | 242 | 1292.9 | 5,433 | N/A | |
| text | hard prompts english | 244 | 1279.3 | 10,078 | N/A | |
| text style control | industry writing and literature and language | 244 | 1291.4 | 13,818 | N/A | |
| text style control | instruction following | 244 | 1292.6 | 18,781 | N/A | |
| text | overall | 245 | 1275.0 | 54,698 | N/A | |
| text | exclude ties | 245 | 1200.6 | 36,895 | N/A | |
| text style control | industry software and it services | 245 | 1339.0 | 14,960 | N/A | |
| text style control | longer query | 245 | 1312.6 | 8,294 | N/A | |
| text | hard prompts | 246 | 1258.2 | 17,004 | N/A | |
| text | russian | 246 | 1250.4 | 5,433 | N/A | |
| text style control | coding | 246 | 1345.7 | 8,745 | N/A | |
| text | industry business and management and financial operations | 247 | 1243.0 | 6,664 | N/A | |
| text style control | non english | 249 | 1282.9 | 24,568 | N/A | |
| text | industry software and it services | 251 | 1274.9 | 14,960 | N/A | |
| text | industry writing and literature and language | 251 | 1255.4 | 13,818 | N/A | |
| text | coding | 252 | 1268.9 | 8,745 | N/A | |
| text | longer query | 252 | 1256.4 | 8,294 | N/A | |
| text | instruction following | 253 | 1242.8 | 18,781 | N/A | |
| text style control | chinese | 254 | 1291.4 | 3,407 | N/A | |
| text | non english | 256 | 1235.5 | 24,568 | N/A | |
| text | chinese | 263 | 1215.5 | 3,407 | N/A |
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Llama | llama-3.3-70b-instruct | global | N/A | N/A | 128K | |
| Cortecs | llama-3.3-70b-instruct | global | $0.129 | $0.399 | 131K | |
| 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 | |
| Regolo AI | llama-3.3-70b-instruct | global | $0.60 | $2.7 | 128K | |
| Charm Hyper | llama-3.3-70b-instruct | global | $0.6066 | $1.04 | 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 | |
| Scaleway | llama-3.3-70b-instruct | global | $0.90 | $0.90 | 100K | |
| GreenPT | llama-3.3-70b-instruct | global | $1.25 | $1.25 | 100K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Llama 3.3 70B Instruct | 54.6 | 70B | 128K | 4.1K | Yes | Llama 3.3 Community License Agreement |
A concise description based on the published model registry.
Llama 3.3 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. Llama 3.3 supports a context length of 128,000 tokens and is designed for commercial and research use in multiple languages.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Llama 3.3 70B.
Llama 3.3 70B's default version was released on Dec 6, 2024.
No official standard PAYG price is currently available for Llama 3.3 70B. The lowest tracked third-party offer starts at $0.129 input and $0.399 output via Cortecs.
Llama 3.3 70B is published under Meta in the model registry.
The default version has a 128K token context window.
Yes. The default version is marked as open weight under Llama 3.3 Community License Agreement.
10 published provider offerings are linked to the default version.
Nearby ranked alternatives include Nova 2 Lite, o4 mini, MiniMax M2.1.