Meta: Llama 3.1 70B Instruct

Meta: Llama 3.1 70B Instruct

meta-llama · Released Jul 23, 2024 Professional
Intelligence #10 / 565
82.0 Our Score
Speed #242 / 262
36.1 tokens / sec
Input #349 / 565
$0.400 per 1M tokens
Output #220 / 565
$0.400 per 1M tokens
Context #228 / 565
131,072 tokens

Analysis Summary

Meta: Llama 3.1 70B Instruct sits in the Professional tier on our leaderboard, ranked #10 of 565 published models on overall intelligence. At $0.400 input and $0.400 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 70B Instruct from Meta delivers an intelligence index of 12.5 with tool use, function calling, and a 131K context at $0.40 per million tokens; coding and agentic scores are moderate, making it a cost-effective choice for general content and tool-use workflows.

Assessed May 31, 2026

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

Performance Profile

Intelligence2.4Technical1.7Value7.8Content2.3
Intelligence 2.4/10
Technical 1.7/10
Content 2.3/10
Value 7.8/10

How Meta: Llama 3.1 70B Instruct compares

Meta: Llama 3.1 70B Instruct ranks #269 of 370 AI models we track for overall intelligence, #219 of 307 for coding, #254 of 282 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.40 per million input tokens it is cheaper than 38% of comparable models.

About Meta: Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong..

70B Parameters

Capabilities

Tool Use Function Calling

Architecture Detail

Instruct Typellama3

Performance Indices

Source: Artificial Analysis

12.5 Intelligence Index
10.9 Coding Index
9.1 Agentic Index
4 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 40.9% Graduate-level scientific reasoning
HLE 4.6% Humanity's Last Exam
MMLU Pro 67.6% Multi-task language understanding
MATH 500 64.9% Mathematical problem-solving
AIME 17.3% Competition mathematics
AIME 2025 4% Competition mathematics (2025)
SciCode 26.7% Scientific computing

Technical

LiveCodeBench 23.2% Live coding evaluation
TerminalBench Hard 3% Agentic terminal tasks
τ²-Bench 15.2% Conversational agent benchmark

Content

IFBench 34.4% Instruction following
LCR 6.3% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Meta: Llama 3.1 70B Instruct stack up?

Compare side-by-side with other professional models.

Compare Models

Model Information

OpenRouter ID meta-llama/llama-3.1-70b-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 $0.40 $0.000400
Output $0.40 $0.000400

Live Performance

Live endpoint metrics, refreshed every 30 minutes.

99.1%
Avg Uptime
186ms
Best Latency (TTFT)
42 tok/s
Best Throughput
4/4
Active Endpoints
Available via: DeepInfra, Amazon Bedrock, WandB

Leaderboard Categories

Frequently asked questions about Meta: Llama 3.1 70B Instruct

How much does Meta: Llama 3.1 70B Instruct cost?

Meta: Llama 3.1 70B Instruct costs $0.40 per million input tokens and $0.40 per million output tokens.

What is the context window of Meta: Llama 3.1 70B Instruct?

Meta: Llama 3.1 70B Instruct has a context window of 131,072 tokens (131K).

Is Meta: Llama 3.1 70B Instruct good for coding?

On our coding benchmark index, Meta: Llama 3.1 70B Instruct ranks #219 of 307 models, placing it in the broader range of the field for code generation and debugging.

What can Meta: Llama 3.1 70B Instruct do?

Meta: Llama 3.1 70B Instruct supports tool use and function calling.

Who created Meta: Llama 3.1 70B Instruct?

Meta: Llama 3.1 70B Instruct is developed by Meta and was released on July 23, 2024.