LLM ReferenceLLM Reference

Llama 3.3 70B Instruct

llama-3-3-70b-instruct

Researched 29d ago

Last refreshed 2026-05-11. Next refresh: weekly.

Open SourceRAGLong contextClassificationJSON / Tool use

Llama 3.3 70B Instruct is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Decision context: JSON / Tool use task fit, 1 tracked provider route, and research from 2026-04-19.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 128k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$1.28

AWS Bedrock per 1M tokens

Provider routes

1

Tracked API hosts

Quality / dollar

Grade C

Ranked by benchmark score divided by cheapest output price

Freshness

2026-04-19

Researched 29d ago

fresh

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
AWS Bedrock$0.960$1.28
Serverless

Benchmark peer barsfor JSON / Tool use

Migration checks

No linked migration route is available for this model yet.

About

Llama 3.3 70B Instruct available on AWS Bedrock

Llama 3.3 70B Instruct has a 128K-token context window.

Llama 3.3 70B Instruct input tokens at $0.96/1M, output at $1.28/1M.

Capabilities

Structured Outputs

Benchmark Scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
BFCL31.9https://gorilla.cs.berkeley.edu/leaderboard.html

Rankings

Specifications

FamilyLlama 3.3
Released2025-09-01
Parameters70
Context128k

Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website

Providers(1)