Meta: Llama 3.1 8B Instruct

Meta: Llama 3.1 8B Instruct

meta-llama · Released Jul 23, 2024 Professional
Intelligence #10 / 565
82.0 Our Score
Speed #30 / 262
213.4 tokens / sec
Input #126 / 565
$0.020 per 1M tokens
Output #126 / 565
$0.050 per 1M tokens
Context #228 / 565
131,072 tokens

Analysis Summary

Meta: Llama 3.1 8B Instruct sits in the Professional tier on our leaderboard, ranked #10 of 565 published models on overall intelligence. At $0.020 input and $0.050 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use and function calling.

Editorial notes

Llama 3.1 8B Instruct from Meta offers tool use, function calling, a 131K context, and an intelligence index of 11.8 at just $0.02/$0.05 per million tokens; coding and agentic scores are modest, but the price-to-capability ratio is excellent for structured content tasks.

Assessed May 31, 2026

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence2Technical1.1Value8Content2.5
Intelligence 2/10
Technical 1.1/10
Content 2.5/10
Value 8/10

How Meta: Llama 3.1 8B Instruct compares

Meta: Llama 3.1 8B Instruct ranks #286 of 370 AI models we track for overall intelligence, #268 of 307 for coding, #257 of 282 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.02 per million input tokens it is cheaper than 78% of comparable models.

About Meta: Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to..

8B Parameters

Capabilities

Tool Use Function Calling

Architecture Detail

Instruct Typellama3

Performance Indices

Source: Artificial Analysis

11.8 Intelligence Index
4.9 Coding Index
8.6 Agentic Index
4.3 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 25.9% Graduate-level scientific reasoning
HLE 5.1% Humanity's Last Exam
MMLU Pro 47.6% Multi-task language understanding
MATH 500 51.9% Mathematical problem-solving
AIME 7.7% Competition mathematics
AIME 2025 4.3% Competition mathematics (2025)
SciCode 13.2% Scientific computing

Technical

LiveCodeBench 11.6% Live coding evaluation
TerminalBench Hard 0.8% Agentic terminal tasks
τ²-Bench 16.4% Conversational agent benchmark

Content

IFBench 28.6% Instruction following
LCR 15.7% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Meta: Llama 3.1 8B Instruct stack up?

Compare side-by-side with other professional models.

Compare Models

Model Information

OpenRouter ID meta-llama/llama-3.1-8b-instruct
Providermeta-llama
Model FamilyLlama 3
Release Date July 23, 2024
Context Length131,072 tokens
Max Completion16,384 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.02 $0.000020
Output $0.05 $0.000050

Live Performance

Live endpoint metrics, refreshed every 30 minutes.

99.3%
Avg Uptime
134ms
Best Latency (TTFT)
182 tok/s
Best Throughput
5/5
Active Endpoints
Available via: Novita, DeepInfra, Groq, Cloudflare, WandB

Leaderboard Categories

Frequently asked questions about Meta: Llama 3.1 8B Instruct

How much does Meta: Llama 3.1 8B Instruct cost?

Meta: Llama 3.1 8B Instruct costs $0.02 per million input tokens and $0.05 per million output tokens.

What is the context window of Meta: Llama 3.1 8B Instruct?

Meta: Llama 3.1 8B Instruct has a context window of 131,072 tokens (131K).

Is Meta: Llama 3.1 8B Instruct good for coding?

On our coding benchmark index, Meta: Llama 3.1 8B Instruct ranks #268 of 307 models, placing it in the broader range of the field for code generation and debugging.

What can Meta: Llama 3.1 8B Instruct do?

Meta: Llama 3.1 8B Instruct supports tool use and function calling.

Who created Meta: Llama 3.1 8B Instruct?

Meta: Llama 3.1 8B Instruct is developed by Meta and was released on July 23, 2024.