Llama 3.1 Instruct 8B
MetaLlamaOpen WeightLlama 3.1 Community License
Description
Llama 3.1 8B Instruct is a multilingual large language model optimized for dialogue use cases. It features a 128K context length, state-of-the-art tool use, and strong reasoning capabilities.
Release Date
2024-07-23
Parameters
8.0B
Context Length
131K
Modalities
text
Capability Radar
19
general
8
coding
14
reasoning
20
science
50
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Code Ranking | 595 | 9.0 | AA |
| General Ranking | 568 | 21.0 | AA |
| Science | 636 | 13.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
80.4%SR
General
BFCL
76.1%SR
MMLU
69.4%SR
Multipl-E MBPP
52.4%SR
Nexus
38.5%SR
Language
MMLU (CoT)
73.0%SR
Multipl-E HumanEval
50.8%SR
MMLU-Pro
48.3%SR
Math
GSM-8K (CoT)
84.5%SR
Multilingual MGSM (CoT)
68.9%SR
MATH (CoT)
51.9%SR
Reasoning
ARC-C
83.4%SR
API-Bank
82.6%SR
MBPP EvalPlus (base)
72.8%SR
HumanEvalOpenAI (2021)
72.6%SR
DROP
59.5%SR
GPQANYU + Cohere + Anthropic (2023)
30.4%SR
Gorilla Benchmark API Bench
8.2%SR
AA Evaluation Indices
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))51.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))47.6
Ifbench(Google Research (2023))28.6
Gpqa(NYU + Cohere + Anthropic (2023))25.9
Lcr(Artificial Analysis)18.0
Tau2(Sierra + U Toronto + Vector Institute (2025))16.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))11.6
Aime(MAA (Mathematical Association of America))7.7
Intelligence Index(Artificial Analysis)6.9
Coding Index(Artificial Analysis)5.4
Hle(Center for AI Safety + Scale AI (2025))5.3
Aime 25(MAA (Mathematical Association of America))4.3
Math Index(Artificial Analysis)4.3
Terminalbench V2 11.5
Terminalbench Hard(Stanford × Laude Institute (2026))0.8
LLM Stats Category Scores
(LLM Stats (zeroeval))Chat80
Instruction Following80
Structured Output80
Language60
Legal60
Math60
Reasoning60
Finance60
General60
Healthcare60
Tool Calling50
Code40
Physics30
Biology30
Chemistry30
Pricing
Input Price$0.02 / 1M tokens
Output Price$0.05 / 1M tokens
Blended Price (3:1)$0.028 / 1M tokens
Cache Read Price$0.025 / 1M tokens
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
Provider Price Ranking
2 providers
Cheapest: DeepInfraMost Expensive: Meta
ProviderInputOutput
1DeepInfraCheapest
$0
$0
2MetaPRIMARY
$0.02
$0.05
Compare pricing across different API providers for this model.