Meta: Llama 3 70B Instruct

Meta: Llama 3 70B Instruct

meta-llama · Released Apr 18, 2024 Professional
Intelligence #10 / 565
82.0 Our Score
Speed #227 / 262
46.2 tokens / sec
Input #378 / 565
$0.510 per 1M tokens
Output #281 / 565
$0.740 per 1M tokens
Context #423 / 565
8,192 tokens

Analysis Summary

Meta: Llama 3 70B Instruct sits in the Professional tier on our leaderboard, ranked #10 of 565 published models on overall intelligence. At $0.510 input and $0.740 output per 1M tokens, it is among the most expensive on the market. It offers a compact context window.

Editorial notes

Llama 3 70B Instruct from Meta offers reasonable general reasoning at a low price point, but the 8K context window and very low agentic index of 0.8 significantly limit its usefulness for agentic or long-document business workflows.

Assessed May 31, 2026

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

Performance Profile

Intelligence1.9Technical0.7Value6.8Content4.1
Intelligence 1.9/10
Technical 0.7/10
Content 4.1/10
Value 6.8/10

How Meta: Llama 3 70B Instruct compares

Meta: Llama 3 70B Instruct ranks #325 of 370 AI models we track for overall intelligence, #256 of 307 for coding, #280 of 282 for agentic tasks. Its 8K-token context window is larger than 25% of the models we list. At $0.51 per million input tokens it is cheaper than 33% of comparable models.

About Meta: Llama 3 70B Instruct

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong..

70B Parameters

Architecture Detail

Instruct Typellama3

Performance Indices

Source: Artificial Analysis

8.9 Intelligence Index
6.8 Coding Index
0.8 Agentic Index

Benchmark Scores

Intelligence

GPQA Diamond 37.9% Graduate-level scientific reasoning
HLE 4.4% Humanity's Last Exam
MMLU Pro 57.4% Multi-task language understanding
MATH 500 48.3% Mathematical problem-solving
SciCode 18.9% Scientific computing

Technical

LiveCodeBench 19.8% Live coding evaluation
TerminalBench Hard 0.8% Agentic terminal tasks

Content

IFBench 37.1% Instruction following

Benchmark data from Artificial Analysis and Hugging Face

How does Meta: Llama 3 70B Instruct stack up?

Compare side-by-side with other professional models.

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Model Information

OpenRouter ID meta-llama/llama-3-70b-instruct
Providermeta-llama
Model FamilyLlama 3
Release Date April 18, 2024
Context Length8,192 tokens
Max Completion8,000 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.51 $0.000510
Output $0.74 $0.000740

Live Performance

Live endpoint metrics, refreshed every 30 minutes.

100%
Avg Uptime
1,101ms
Best Latency (TTFT)
18 tok/s
Best Throughput
1/1
Active Endpoints
Available via: Novita

Frequently asked questions about Meta: Llama 3 70B Instruct

How much does Meta: Llama 3 70B Instruct cost?

Meta: Llama 3 70B Instruct costs $0.51 per million input tokens and $0.74 per million output tokens.

What is the context window of Meta: Llama 3 70B Instruct?

Meta: Llama 3 70B Instruct has a context window of 8,192 tokens (8K).

Is Meta: Llama 3 70B Instruct good for coding?

On our coding benchmark index, Meta: Llama 3 70B Instruct ranks #256 of 307 models, placing it in the broader range of the field for code generation and debugging.

Who created Meta: Llama 3 70B Instruct?

Meta: Llama 3 70B Instruct is developed by Meta and was released on April 18, 2024.