Meta model product
1 70B Instruct is a large language model optimized for multilingual dialogue use cases.
Updated Aug 12, 2026. Default version: Llama 3.1 70B Instruct
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama 3.1 70B Instruct.
| GSM-8K (CoT) | 95.1% | 01 | 2 | 100.0% | C | |
| MATH (CoT) | 68.0% | 01 | 6 | 100.0% | C | |
| MBPP ++ base version | 86.0% | 01 | 1 | 100.0% | C | |
| API-Bank | 90.0% | 02 | 3 | 50.0% | C | |
| BFCL | 84.8% | 02 | 11 | 90.0% | C | |
| Gorilla Benchmark API Bench | 29.7% | 02 | 3 | 50.0% | C | |
| MMLU (CoT) | 86.0% | 02 | 3 | 50.0% | C | |
| Multilingual MGSM (CoT) | 86.9% | 02 | 3 | 50.0% | C | |
| Multipl-E HumanEval | 65.5% | 02 | 3 | 50.0% | C | |
| Multipl-E MBPP | 62.0% | 02 | 3 | 50.0% | C | |
| Nexus | 56.7% | 02 | 4 | 66.7% | C | |
| ARC-C | 94.8% | 04 | 34 | 90.9% | C | |
| DROP | 79.6% | 14 | 30 | 55.2% | C | |
| IFEval | 87.5% | 32 | 65 | 51.6% | C | |
| HumanEval | 80.5% | 45 | 66 | 32.3% | C | |
| MMLU | 83.6% | 47 | 100 | 53.5% | C | |
| MMLU-Pro | 66.4% | 98 | 129 | 24.2% | C | |
| GPQA | 41.7% | 201 | 234 | 14.2% | C |
Preference and agent-evaluation results for the default version.
| text | overall | 260 | 1261.0 | 55,240 | N/A | |
| text style control | overall | 261 | 1293.3 | 55,240 | N/A |
Provider-specific output speed and catalog latency for Llama 3.1 70B Instruct. Runtime does not affect the capability score.
| Cerebras | 1,204 tok/s | 0.2 s | 128K | 128K | |
| Groq | 250 tok/s | 0.5 s | 128K | 128K | |
| Hyperbolic | 100 tok/s | 0.5 s | 128K | 128K | |
| Bedrock | 100 tok/s | 0.5 s | 128K | 128K | |
| Together | 94 tok/s | 0.5 s | 128K | 128K | |
| Sambanova | 74 tok/s | 0.5 s | 128K | 128K | |
| Lambda | 42 tok/s | 0.5 s | 128K | 128K | |
| Fireworks | 32 tok/s | 0.5 s | 128K | 128K | |
| DeepInfra | 25 tok/s | 0.5 s | 128K | 128K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Nvidia | meta/llama-3.1-70b-instruct | global | N/A | N/A | 128K | |
| OpenRouter | meta-llama/llama-3.1-70b-instruct | global | $0.40 | $0.40 | 131.1K | |
| LLM Gateway | llama-3.1-70b-instruct | global | $0.72 | $0.72 | 128K | |
| Amazon Bedrock | meta.llama3-1-70b-instruct-v1:0 | global | $0.72 | $0.72 | 128K | |
| Vercel AI Gateway | meta/llama-3.1-70b | global | $0.72 | $0.72 | 128K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Llama 3.1 70B Instruct | 13.2 | 70B | 128K | 128K | No | Llama 3.1 Community License |
Key information about Llama 3.1 70B and its available data.
1 70B Instruct is a large language model optimized for multilingual dialogue use cases. It outperforms many available open source and closed chat models on common industry benchmarks.
Data as of 2026-08-11.
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 LLMBoard score.
Common questions about Llama 3.1 70B.
Llama 3.1 70B's default version was released on Jul 23, 2024.
No official standard PAYG price is currently available for Llama 3.1 70B. The lowest tracked third-party offer starts at $0.40 input and $0.40 output via OpenRouter.
Llama 3.1 70B was created by Meta.
The default version has a 128K token context window.
No. The default version is not marked as having publicly available weights.
5 provider offerings are linked to the default version.
Nearby ranked alternatives include Llama 4 Scout, Phi 4 Mini Reasoning, Nova Lite.