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Meta: Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

Context Window
131K tokens
Parameters
70B
Input Price
$0.10/1M
Output Price
$0.32/1M
Price Tier
budget
Provider
Meta

How to Use Meta: Llama 3.3 70B Instruct

With CoreAI, you can start chatting with Meta: Llama 3.3 70B Instruct instantly — no separate subscription needed. CoreAI lets you chat with Meta: Llama 3.3 70B Instruct alongside 300+ other AI models from Meta and other providers like OpenAI, Anthropic, Google, Meta, and more.

  1. Download the CoreAI app for iOS, Android, or use the Web App
  2. Select Meta: Llama 3.3 70B Instruct from the model selector
  3. Start chatting, comparing, or creating with AI

Meta: Llama 3.3 70B Instruct at a Glance

Meta: Llama 3.3 70B Instruct holds the #273 spot for context size out of 392 chat models in the CoreAI catalog — 131K tokens, roughly 98,304 words or 197 pages of text in a single conversation. On price, it is the #48 cheapest of 128 budget-tier models by input cost. It joined the catalog on 2024-12-06.

Meta: Llama 3.3 70B Instruct Compared to Its Closest Alternatives

SpecMeta: Llama 3.3 70B InstructMeta: Llama 4 ScoutIBM: Granite 4.1 8BinclusionAI: Ling-2.6-flash
ProviderMetaMetaIbm-graniteInclusionai
Input $/1M tokens$0.1$0.1$0.05$0.01
Output $/1M tokens$0.32$0.3$0.1$0.03
Context window131K328K131K262K
Reasoning modeNoNoNoNo
Image inputNoYesNoNo
Price tierbudgetbudgetbudgetbudget

Every model in this table is available on CoreAI — open the web app and run the same prompt through Meta: Llama 3.3 70B Instruct and Meta: Llama 4 Scout side by side to judge with your own eyes.

What Meta: Llama 3.3 70B Instruct Actually Costs in Practice

A typical question (about 1,000 tokens in, 500 out) runs $0.00026 on Meta: Llama 3.3 70B Instruct's raw per-token rates; a heavy session with a 50K-token document costs about $0.007. On CoreAI you don't juggle these numbers — one subscription covers Meta: Llama 3.3 70B Instruct and 300+ other models under a plan usage limit, with no API keys. See plans.

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Meta: Llama 3.1 70B Instruct

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Frequently Asked Questions about Meta: Llama 3.3 70B Instruct

What is Meta: Llama 3.3 70B Instruct's context window?

Meta: Llama 3.3 70B Instruct handles 131K tokens of context — roughly 98,304 words, or about 197 pages of text in one conversation.

How much does Meta: Llama 3.3 70B Instruct cost?

Meta: Llama 3.3 70B Instruct's underlying rates are $0.1 per 1M input tokens and $0.32 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.

Can Meta: Llama 3.3 70B Instruct process images?

No — Meta: Llama 3.3 70B Instruct is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.

Does Meta: Llama 3.3 70B Instruct support reasoning or thinking mode?

No — Meta: Llama 3.3 70B Instruct answers directly without an extended reasoning phase, which usually means faster responses.

How can I use Meta: Llama 3.3 70B Instruct without an API key?

Open the CoreAI web app or the iOS/Android app, pick Meta: Llama 3.3 70B Instruct in the model selector, and chat — no API key, no per-token billing. One subscription covers Meta: Llama 3.3 70B Instruct and 300+ other models.

What are the best alternatives to Meta: Llama 3.3 70B Instruct?

The closest alternatives on CoreAI are Meta: Llama 4 Scout, IBM: Granite 4.1 8B, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.

Read More about Meta: Llama 3.3 70B Instruct

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