Meta: Llama 3 70B Instruct

Meta: Llama 3 70B Instruct

meta-llama · Released Apr 18, 2024 Professional
Intelligence #9 / 579
82.0 Our Score
Speed #232 / 275
45.7 tokens / sec
Input #386 / 579
$0.510 per 1M tokens
Output #289 / 579
$0.740 per 1M tokens
Context #434 / 579
8,192 tokens

Analysis Summary

Llama 3 70B Instruct is Meta's open-weight 70B model from April 2024, available at low cost through third-party inference providers. Its reasoning benchmarks are modest by current standards, and the 8K context window is a significant practical constraint for document-heavy business tasks.

For businesses, it suits lightweight general-purpose text generation, classification, and summarisation where context length is not a limiting factor. The near-zero agentic index means it is not suitable for tool-use pipelines or autonomous agent workflows. No vision or function calling support further limits its versatility.

Pricing is competitive at $0.51 per million input tokens, but the Llama 3.1 70B released shortly after offers a much larger context window and better overall capability at a similar price point, making this version largely redundant for new deployments.

Assessed June 17, 2026

Editorial notes

Llama 3 70B Instruct from Meta offers reasonable general reasoning at low cost, but its 8K context window and limited agentic capability restrict its usefulness for complex business workflows.

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

Performance Profile

Intelligence1.4Technical0.7Value6.8Content4.1
Intelligence 1.4/10
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 #337 of 380 AI models we track for overall intelligence, #267 of 317 for coding, #290 of 292 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

3.5 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
963ms
Best Latency (TTFT)
21 tok/s
Best Throughput
1/1
Active Endpoints
Available via: Novita

Leaderboard Categories

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 #267 of 317 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.