Model
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Llama 3.1 70B

OPEN
Meta · Llama 3.1 family · released Jul 23, 2024

128K-context 70B for large-scale AI-native applications, with built-in multilingual tool use.

ReasoningCodingVisionFunction callingTool useAgentic
980.8
Elo · rank #216
Parameters
70.6B
Active params
70.6B (dense)
Context
128K tokens
Architecture
Dense decoder-only Transformer (GQA)
License
Llama 3.1 Community License Agreement
Languages
8+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
ARC-ChallengeReasoning94.8%#9
best: Llama 3.1 405B · 96.9%
Arena EloHuman preference1198#41
best: Claude Fable 5 · 1505
BIG-Bench HardReasoning55.9%#84
best: ERNIE 4.5 300B-A47B · 94.3%
BFCLAgents84.8%#7
best: SmolLM3 3B (No Thinking) · 92.3%
Gaokao MathMath41.7%#7
best: Doubao-Seed-1.6 · 96.0%
GPQA DiamondReasoning46.7%#199
best: GPT-5.6 · 94.6%
GSM8KMath95.1%#8
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning86.7%#23
best: Claude 3 Opus · 95.4%
HumanEvalCoding80.5%#55
best: Claude Opus 4.5 · 99.4%
IFEvalReasoning87.5%#40
best: Gemma 4 26B A4B · 98.5%
LogicKorHuman preference7.78#16
best: GPT-4o · 9.33
MATH-500Math68.0%#100
best: GPT-5 · 99.4%
MBPP+Coding86.0%#5
best: Llama 3.1 405B · 88.6%
MGSMMath86.9%#20
best: OpenAI o4-mini · 93.7%
MMLU (EU-21 languages)Knowledge77.1%#1
best: this model · 77.1%
MMLU-ProKnowledge66.4%#102
best: Claude Fable 5 · 91.5%
MMLUKnowledge83.6%#69
best: OpenAI o3 · 92.9%
TruthfulQAKnowledge59.9%#24
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
WinoGrandeReasoning85.4%#10
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
Q4_K_M weights (~40GB) exceed a single RTX 4090's 24GB VRAM; requires CPU offload, yielding only ~8-12 tok/s degraded throughput rather than a clean in-VRAM figure
Quantizations
GGUF Q4 · AWQ · GPTQ · MLX
API price weights · each benchmark row carries its own source badge (see methodology)