Model
Model explorer
Llama 3 70B
OPENMeta · Llama 3 family · released Apr 18, 2024
Llama 3 flagship; Instruct checkpoint scored 82.0% MMLU and 81.7% HumanEval at launch, competitive with Gemini 1.5 Pro and beating Claude 3 Sonnet on several benchmarks. Officially English-only at this release (multilingual support came with Llama 3.1).
ReasoningCodingVisionFunction callingTool useAgentic
886.4
Elo · rank #239
Parameters
70B
Active params
70B (dense)
Context
8K tokens
Architecture
Dense transformer decoder with grouped-query attention (GQA), 128K-token vocabulary
License
Llama 3 Community License Agreement
Languages
—
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: Llama 3.1 405B · 96.9%
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
best: Claude Fable 5 · 1505
best: ERNIE 4.5 300B-A47B · 94.3%
best: Hunyuan-T1 · 93.1
best: GPT-5.6 · 94.6%
best: Llama 3.1 405B · 96.8%
best: Claude Opus 4.5 · 99.4%
best: GPT-5 · 99.4%
best: OpenAI o3 · 92.9%
best: Sarvam-1 (2B) · 90.6%
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
40 GB
VRAM @ FP16
140 GB
Fits on (Q4)
M3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
~18 tok/s on RTX 4090 (Q4, llama.cpp)
Quantizations
GGUF Q4 · AWQ · GPTQ · MLX
API price weights · each benchmark row carries its own source badge (see methodology)