Llama 3.1 8B Instruct
Zero-eval
#1MBPP EvalPlus (base)
#2GSM-8K (CoT)
#2MATH (CoT)
+8 more
by Meta
About
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
Pricing Range
Input (per 1M)$0.03 -$0.22
Output (per 1M)$0.03 -$0.22
Providers9
Timeline
AnnouncedJul 23, 2024
ReleasedJul 23, 2024
Knowledge CutoffDec 31, 2023
Specifications
Training Tokens15.0T
License & Family
License
Llama 3.1 Community License
Benchmark Performance Overview
Performance metrics and category breakdown
Overall Performance
18 benchmarks
Average Score
61.3%
Best Score
84.5%
High Performers (80%+)
4Performance Metrics
Max Context Window
262.1KAvg Throughput
532.6 tok/sAvg Latency
0msTop Categories
reasoning
83.4%
math
68.4%
code
65.8%
general
54.0%
Benchmark Performance
Top benchmark scores with normalized values (0-100%)
Ranking Across Benchmarks
Position relative to other models on each benchmark
GSM-8K (CoT)
Rank #2 of 2
#1Llama 3.1 70B Instruct
95.1%
#2Llama 3.1 8B Instruct
84.5%
ARC-C
Rank #15 of 31
#12Phi 4 Mini
83.7%
#13Phi-3.5-mini-instruct
84.6%
#14Jamba 1.5 Mini
85.7%
#15Llama 3.1 8B Instruct
83.4%
#16Llama 3.2 3B Instruct
78.6%
#17Ministral 8B Instruct
71.9%
#18Gemma 2 27B
71.4%
API-Bank
Rank #3 of 3
#1Llama 3.1 70B Instruct
90.0%
#2Llama 3.1 405B Instruct
92.0%
#3Llama 3.1 8B Instruct
82.6%
IFEval
Rank #27 of 37
#24GPT-4o
81.0%
#25Mistral Small 3 24B Instruct
82.9%
#26DeepSeek-R1
83.3%
#27Llama 3.1 8B Instruct
80.4%
#28Gemma 3 1B
80.2%
#29Llama 3.1 Nemotron Nano 8B V1
79.3%
#30Llama 3.2 3B Instruct
77.4%
BFCL
Rank #3 of 10
#1Llama 3.1 70B Instruct
84.8%
#2Llama 3.1 405B Instruct
88.5%
#3Llama 3.1 8B Instruct
76.1%
#4Qwen3 235B A22B
70.8%
#5Qwen3 32B
70.3%
#6Qwen3 30B A3B
69.1%
All Benchmark Results for Llama 3.1 8B Instruct
Complete list of benchmark scores with detailed information
GSM-8K (CoT) GSM-8K (CoT) benchmark | math | text | 0.84 | 84.5% | Self-reported |
ARC-C ARC-C benchmark | reasoning | text | 0.83 | 83.4% | Self-reported |
API-Bank API-Bank benchmark | general | text | 0.83 | 82.6% | Self-reported |
IFEval IFEval benchmark | code | text | 0.80 | 80.4% | Self-reported |
BFCL BFCL benchmark | general | text | 0.76 | 76.1% | Self-reported |
MMLU (CoT) MMLU (CoT) benchmark | general | text | 0.73 | 73.0% | Self-reported |
MBPP EvalPlus (base) MBPP EvalPlus (base) benchmark | code | text | 0.73 | 72.8% | Self-reported |
HumanEval HumanEval benchmark | code | text | 0.73 | 72.6% | Self-reported |
MMLU MMLU benchmark | general | text | 0.69 | 69.4% | Self-reported |
Multilingual MGSM (CoT) Multilingual MGSM (CoT) benchmark | math | text | 0.69 | 68.9% | Self-reported |
Showing 1 to 10 of 18 benchmarks