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Llama 3 70B

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Meta · 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
ARC-ChallengeReasoning93.0%#17
best: Llama 3.1 405B · 96.9%
Arena-HardHuman preference41.1%#46
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
Arena EloHuman preference1206#40
best: Claude Fable 5 · 1505
BIG-Bench HardReasoning81.3%#31
best: ERNIE 4.5 300B-A47B · 94.3%
DROPReasoning79.7#27
best: Hunyuan-T1 · 93.1
GPQA DiamondReasoning39.5%#223
best: GPT-5.6 · 94.6%
GSM8KMath93.0%#22
best: Llama 3.1 405B · 96.8%
HumanEvalCoding81.7%#51
best: Claude Opus 4.5 · 99.4%
MATH-500Math50.4%#131
best: GPT-5 · 99.4%
MMLUKnowledge79.5%#95
best: OpenAI o3 · 92.9%
TriviaQAKnowledge89.7%#2
best: Sarvam-1 (2B) · 90.6%
WinoGrandeReasoning83.1%#18
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
Llama 3 family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)