Meta model product
Llama 3.1 8B Instruct is a multilingual large language model optimized for dialogue use cases. It features a 128K context length, state-of-the-art tool use, and strong reasoning capabilities.
Updated Aug 10, 2026. Default version: Llama 3.1 8B 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.
Published benchmark records for the scored version Llama 3.1 8B Instruct.
| MBPP EvalPlus (base) | 0.7 | 1 | 1 | 100.0% | C | |
| GSM-8K (CoT) | 0.8 | 2 | 2 | 0.0% | C | |
| API-Bank | 0.8 | 3 | 3 | 0.0% | C | |
| BFCL | 0.8 | 3 | 11 | 80.0% | C | |
| Gorilla Benchmark API Bench | 0.1 | 3 | 3 | 0.0% | C | |
| MMLU (CoT) | 0.7 | 3 | 3 | 0.0% | C | |
| Multilingual MGSM (CoT) | 0.7 | 3 | 3 | 0.0% | C | |
| Multipl-E HumanEval | 0.5 | 3 | 3 | 0.0% | C | |
| Multipl-E MBPP | 0.5 | 3 | 3 | 0.0% | C | |
| Nexus | 0.4 | 3 | 4 | 33.3% | C | |
| MATH (CoT) | 0.5 | 6 | 6 | 0.0% | C | |
| ARC-C | 0.8 | 16 | 34 | 54.5% | C | |
| DROP | 0.6 | 24 | 30 | 20.7% | C | |
| IFEval | 0.8 | 52 | 65 | 20.3% | C | |
| HumanEval | 0.7 | 61 | 76 | 20.0% | C | |
| MMLU | 0.7 | 85 | 100 | 15.2% | C | |
| MMLU-Pro | 0.5 | 116 | 129 | 10.2% | C | |
| GPQA | 0.3 | 223 | 233 | 4.3% | C |
Preference and agent-evaluation signals from published Arena datasets.
| text | japanese | 225 | 1061.4 | 1,234 | N/A | |
| text | french | 231 | 1176.1 | 478 | N/A | |
| text style control | japanese | 231 | 1087.7 | 1,234 | N/A | |
| text | spanish | 236 | 1168.5 | 565 | N/A | |
| text | korean | 239 | 1052.9 | 802 | N/A | |
| text style control | french | 247 | 1205.0 | 478 | N/A | |
| text style control | korean | 250 | 1085.9 | 802 | N/A | |
| text style control | spanish | 251 | 1186.5 | 565 | N/A | |
| text | german | 252 | 1144.2 | 1,295 | N/A | |
| text style control | german | 260 | 1167.3 | 1,295 | N/A | |
| text | industry medicine and healthcare | 277 | 1180.9 | 2,564 | N/A | |
| text | industry legal and government | 282 | 1206.4 | 2,882 | N/A | |
| text | expert | 283 | 1143.2 | 2,589 | N/A | |
| text | coding | 287 | 1195.3 | 8,582 | N/A | |
| text | hard prompts english | 288 | 1197.5 | 8,195 | N/A | |
| text | industry mathematical | 288 | 1180.2 | 5,985 | N/A | |
| text | chinese | 289 | 1149.8 | 4,400 | N/A | |
| text | english | 289 | 1217.7 | 26,610 | N/A | |
| text | industry software and it services | 289 | 1196.0 | 13,139 | N/A | |
| text | hard prompts | 290 | 1175.0 | 13,535 | N/A | |
| text | industry business and management and financial operations | 290 | 1165.7 | 5,722 | N/A | |
| text | industry life and physical and social science | 291 | 1193.7 | 8,403 | N/A | |
| text | math | 291 | 1179.3 | 7,135 | N/A | |
| text | multi turn | 293 | 1172.0 | 8,930 | N/A | |
| text | longer query | 294 | 1181.9 | 6,736 | N/A | |
| text | overall | 296 | 1186.8 | 49,605 | N/A | |
| text | industry entertainment and sports and media | 296 | 1145.2 | 7,706 | N/A | |
| text | russian | 296 | 1157.5 | 6,589 | N/A | |
| text style control | industry medicine and healthcare | 296 | 1229.5 | 2,564 | N/A | |
| text | exclude ties | 297 | 1055.5 | 31,686 | N/A | |
| text | instruction following | 297 | 1159.3 | 19,781 | N/A | |
| text | non english | 297 | 1147.8 | 22,995 | N/A | |
| text | creative writing | 298 | 1154.7 | 7,346 | N/A | |
| text style control | industry legal and government | 298 | 1246.0 | 2,882 | N/A | |
| text | industry writing and literature and language | 300 | 1162.1 | 13,505 | N/A | |
| text style control | expert | 300 | 1195.7 | 2,589 | N/A | |
| text style control | multi turn | 302 | 1198.3 | 8,930 | N/A | |
| text style control | russian | 302 | 1189.1 | 6,589 | N/A | |
| text style control | longer query | 303 | 1223.2 | 6,736 | N/A | |
| text style control | chinese | 305 | 1202.8 | 4,400 | N/A | |
| text style control | coding | 306 | 1259.7 | 8,582 | N/A | |
| text style control | industry business and management and financial operations | 306 | 1209.4 | 5,722 | N/A | |
| text style control | industry software and it services | 306 | 1245.0 | 13,139 | N/A | |
| text style control | hard prompts english | 308 | 1240.1 | 8,195 | N/A | |
| text style control | industry mathematical | 309 | 1193.5 | 5,985 | N/A | |
| text style control | industry entertainment and sports and media | 310 | 1174.2 | 7,706 | N/A | |
| text style control | industry life and physical and social science | 310 | 1228.6 | 8,403 | N/A | |
| text style control | non english | 310 | 1177.7 | 22,995 | N/A | |
| text style control | creative writing | 311 | 1177.4 | 7,346 | N/A | |
| text style control | english | 311 | 1237.4 | 26,610 | N/A | |
| text style control | overall | 312 | 1211.4 | 49,605 | N/A | |
| text style control | exclude ties | 312 | 1089.6 | 31,686 | N/A | |
| text style control | hard prompts | 312 | 1222.2 | 13,535 | N/A | |
| text style control | industry writing and literature and language | 313 | 1182.2 | 13,505 | N/A | |
| text style control | instruction following | 313 | 1190.9 | 19,781 | N/A | |
| text style control | math | 313 | 1189.0 | 7,135 | 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.
| Nvidia | meta/llama-3.1-8b-instruct | global | N/A | N/A | 16K | |
| Helicone | llama-3.1-8b-instruct | global | $0.02 | $0.05 | 16.4K | |
| Abacus | meta-llama/Meta-Llama-3.1-8B-Instruct | global | $0.02 | $0.05 | 128K | |
| NovitaAI | meta-llama/llama-3.1-8b-instruct | global | $0.02 | $0.05 | 16.4K | |
| Inference | meta/llama-3.1-8b-instruct | global | $0.025 | $0.025 | 16K | |
| Regolo AI | llama-3.1-8b-instruct | global | $0.05 | $0.25 | 120K | |
| OpenRouter | meta-llama/llama-3.1-8b-instruct | global | $0.05 | $0.08 | 131.1K | |
| NanoGPT | meta-llama/llama-3.1-8b-instruct | global | $0.0544 | $0.085 | 131.1K | |
| Neon | meta-llama-3-1-8b-instruct | global | $0.15 | $0.45 | 131.1K | |
| Cortecs | llama-3.1-8b-instruct | global | $0.167 | $0.167 | 128K | |
| Pioneer | meta-llama/Llama-3.1-8B-Instruct | global | $0.20 | $0.20 | 131.1K | |
| Amazon Bedrock | meta.llama3-1-8b-instruct-v1:0 | global | $0.22 | $0.22 | 128K | |
| Vercel AI Gateway | meta/llama-3.1-8b | global | $0.22 | $0.22 | 128K | |
| Cloudflare AI Gateway | workers-ai/@cf/meta/llama-3.1-8b-instruct | global | $0.28 | $0.83 | 128K |
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 3.1 8B Instruct | 29.5 | 8B | 131.1K | 131.1K | No | Llama 3.1 Community License |
A concise description based on the published model registry.
Llama 3.1 8B Instruct is a multilingual large language model optimized for dialogue use cases. It features a 128K context length, state-of-the-art tool use, and strong reasoning capabilities.
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 3.1 8B.
Llama 3.1 8B's default version was released on Jul 23, 2024.
No official standard PAYG price is currently available for Llama 3.1 8B. The lowest tracked third-party offer starts at $0.02 input and $0.05 output via Helicone.
Llama 3.1 8B is published under Meta in the model registry.
The default version has a 131.1K token context window.
No. The default version is not marked as having publicly available weights.
14 published provider offerings are linked to the default version.
Nearby ranked alternatives include Phi 4 Mini, Gemini 2.5 Flash Lite, Gemma 2 9B.