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Llama 3.3 70B Instruct (free)

llama-3.3-70b-instruct

Researched 29d ago

Last refreshed 2026-05-16. Next refresh: weekly.

Open SourceClassificationJSON / Tool use

Llama 3.3 70B Instruct (free) is worth evaluating for classification and json / tool use when its provider route and context window match the workload.

Decision context: Classification task fit, 9 tracked provider routes, and research from 2026-04-19.

Use it for

  • Teams evaluating classification and json / tool use
  • Workloads that can use a 66K context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$0.320

OpenRouter per 1M tokens

Provider routes

9

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-04-19

Researched 29d ago

fresh

Top use-case fit

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 9
ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.100$0.320
Serverless
Together AI$0.440$0.440
Serverless
Chutes AI$0.220$0.660
Serverless
Microsoft Foundry$0.710$0.710
ServerlessProvisioned

Benchmark peer barsfor Classification

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

Meta: Llama 3.3 70B Instruct (free) available via OpenRouter. Pricing: $null/1M input, $null/1M output.

Llama 3.3 70B Instruct (free) has a 66K-token context window.

Llama 3.3 70B Instruct (free) input tokens at $0.1/1M, output at $0.32/1M.

Capabilities

Structured Outputs

Rankings

Specifications

FamilyLlama 3.3
Released2024-12-06
Context66K
ArchitectureDecoder Only
Specializationgeneral

Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website