meta-llama

Meta: Llama 3.1 70B Instruct

meta-llama/llama-3.1-70b-instruct

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter's catalog identifies meta-llama/llama-3.1-70b-instruct as Meta's 70B instruction-tuned Llama 3.1 variant for text-to-text use, with a reported 131,072-token context window and a knowledge cutoff of December 31, 2023. The catalog says it is optimized for high-quality dialogue and lists tool-related parameters, but the supplied evidence contains no benchmark results; an independent model card was not available in this source pack, so real-world quality remains unverified.[1]

Strengths

The catalog reports a 131,072-token context window for text inputs.[1]
It lists tools and tool_choice parameters alongside max_tokens, stop, temperature, top_k, and top_p.[1]
The catalog describes the variant as instruction-tuned and optimized for high-quality dialogue.[1]

Limitations

Evidence comes only from the OpenRouter catalog; an independent model card was not available in this source pack.[1]
The catalog lists text-only input and output modalities, so image or audio support is not documented.[1]
No benchmark results are supplied, and the December 31, 2023 knowledge cutoff may limit coverage of later topics.[1]

Where to use it

Consider it for text-based assistants that may benefit from a long context window, after workload validation.[1]
It may fit prototypes that use tool-related request parameters, subject to integration testing.[1]
It could be evaluated for drafting or rewriting long text, rather than assumed to perform well.[1]

Sources

[1] OpenRouter catalog · Meta: Llama 3.1 70B InstructSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

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...

Specifications

Model ID: meta-llama/llama-3.1-70b-instruct
Creator: meta-llama
Added to OpenRouter: 23.07.2024
Context length: 131,072
Modality: text->text
Input modalities: text
Output modalities: text
Token pricing: USD per 1M tokens: in $0.720 / out $0.720
Knowledge cutoff: 31.12.2023
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	parameters: tool_choice, tools
Writing	No measurement	output: text
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Amazon Bedrock	131,072	$0.720	$0.720	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.