Model
Model explorer

Llama 2 70B

OPEN
Meta · Llama 2 family · released Jul 18, 2023

First open-weights LLM licensed for commercial use at flagship scale; Llama 2's dense 70B base model with GQA for inference efficiency.

ReasoningCodingVisionFunction callingTool useAgentic
365.0
Elo · rank #341
Parameters
69B
Active params
69B (dense)
Context
4K tokens
Architecture
Dense decoder-only Transformer with Grouped-Query Attention (GQA)
License
Llama 2 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
AGIEvalReasoning54.2%#10
best: OLMo 3-Think 32B · 88.2%
ARC-ChallengeReasoning57.4%#100
best: Llama 3.1 405B · 96.9%
ARC-EasyReasoning80.2%#25
best: Phi-3-medium (14B) · 97.7%
BIG-Bench HardReasoning51.2%#98
best: ERNIE 4.5 300B-A47B · 94.3%
GSM8KMath56.8%#121
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning85.3%#38
best: Claude 3 Opus · 95.4%
HumanEvalCoding29.9%#154
best: Claude Opus 4.5 · 99.4%
MBPPCoding45.0%#78
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
MMLUKnowledge68.9%#154
best: OpenAI o3 · 92.9%
OpenBookQAReasoning60.2%#13
best: Claude 1 · 90.8%
PIQAReasoning82.8%#20
best: GPT-4o mini · 93.1%
Social IQaReasoning50.7%#23
best: Apple DCLM-Baseline 7B · 82.9%
TriviaQAKnowledge87.6%#4
best: Sarvam-1 (2B) · 90.6%
TruthfulQAKnowledge50.2%#57
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
WinoGrandeReasoning80.2%#37
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
38 GB
VRAM @ FP16
140 GB
Fits on (Q4)
M3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Q4_K_M weights (~38-41GB) exceed the RTX 4090's 24GB VRAM, forcing CPU offload; no reliably sourced single-GPU 4090 tokens/sec figure was found specifically for this model.
Quantizations
GGUF · GPTQ · AWQ · GGML
API price weights · each benchmark row carries its own source badge (see methodology)