AI Models

Llama 3.3

Meta's most capable open model

Visit Llama 3.3
★4.6ratingPricing · FreeHot
The FalcoScan Intel PanelLlama 3.3 · AI Models
Data updated 2 November 2026
Opportunity
High
Band
Saturation
Open
Band
Wrapper risk
Low
Band
Momentum
Hot
Market trend
Rating
4.6
of 5 · FalcoScan rating

AI Models AI has a narrow moat on average, from the moat scores of its rated products. What protects AI Models AI tools, and the widest moats

The Brief

What Llama 3.3 does

Llama 3.3 70B achieves GPT-4o class performance as an open-weight model — runs locally or via API.

How Llama 3.3 compares with its closest alternatives

All 5 closest alternatives have a free plan, as Llama 3.3 does. All 5 offer an API, as Llama 3.3 does. Llama 3.3 offers a command-line tool. Of the 3 alternatives with platforms on record, 2 offer a command-line tool. Llama 3.3 was founded in 2024; the alternatives were founded between 2023 and 2024, 4 of them earlier. Llama 3.3 is based in San Francisco, United States; 2 of the 4 alternatives with a known headquarters are in the United States too, and the others in China.

Market position · AI Models

How Llama 3.3 compares in AI Models

Llama 3.3 has high opportunity and sits in the middle third of 455 live AI Models tools on FalcoScan. Across AI Models, the average opportunity score is 74.6 and the average saturation score 30.5. FalcoScan rates Llama 3.3's own market position as open. 200 of the 455 operating AI Models tools have hot momentum, and FalcoScan has recorded 13 shutdowns in the category.

Llama 3.3 compared with its closest alternatives
ProductOpportunitySaturationPricingPricing fromFree planAPIPlatformsMomentum
Llama 3.3Founded 2024 · San Francisco, United StatesHighOpenFree—YesYesAPI, CLIHot
Gemma by GoogleFounded 2024 · San Francisco, United StatesModerateContestedFree—YesYesAPI, CLIHot
Llama APIFounded 2023 · Menlo Park, United StatesModerateContestedFreemium—YesYesAPIHot
DeepSeek R1Founded 2023HighContestedFreemium—YesYesAPIHot
DeepSeek V3Founded 2023 · Hangzhou, ChinaHighOpenFreemium—YesYesWeb, APIHot
Qwen 2.5 72BFounded 2023 · Hangzhou, ChinaHighOpenFree—YesYesAPI, CLIHot

Exact opportunity and saturation scores for all 6 of these, and where each ranks in AI Models.

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What it ships with

Capabilities & who uses it

The capabilities Llama 3.3 exposes to builders and the verticals it currently serves.

AI Capabilities
Text GenerationCode GenerationReasoning
Industry Verticals
SoftwareEducation
Tagged

Llama 3.3 shows up when builders search for these

open-sourcemetalocal
Similar tools · AI Models

Alternatives to Llama 3.3

Products still running that do the same job, from the ai models market and related ones, closest match first.

See the AI Models market
AI Models
Gemma by Google

Open-source models from Google DeepMind

★ 4.3Opportunity Moderate
Free
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Llama API

Meta's Llama models via hosted API

★ 4.4Opportunity Moderate
Freemium
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DeepSeek R1

Open-source chain-of-thought reasoning

★ 4.7Opportunity High
Freemium
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DeepSeek V3

Fastest open-source frontier model

★ 4.6Opportunity High
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Qwen 2.5 72B

Alibaba flagship open-source LLM

★ 4.5Opportunity High
Free
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Yi Large

01.ai's frontier open-source model

★ 4.3Opportunity Moderate
Freemium
Featured in
Questions

Llama 3.3: common questions

Is Llama 3.3 free?

Yes. FalcoScan lists Llama 3.3 as free to use.

What are the best alternatives to Llama 3.3?

The closest alternatives to Llama 3.3 that are still running, matched on the AI capabilities, uses and audience they share, are Gemma by Google, Llama API, DeepSeek R1, DeepSeek V3, and Qwen 2.5 72B.

Is Llama 3.3 still running?

Yes. As of 2 November 2026, FalcoScan lists Llama 3.3 as operating at ai.meta.com.

Where is Llama 3.3 based?

Llama 3.3 is headquartered in San Francisco, United States.

Does Llama 3.3 have an API?

Yes. Llama 3.3 offers an API.

Who is Llama 3.3 for?

Llama 3.3 is built for developers and researchers.

How do I sign in to Llama 3.3?

Sign in on Llama 3.3's own website, ai.meta.com. FalcoScan reviews Llama 3.3 but does not run its accounts, so logins, passwords and billing are handled by Llama 3.3 directly.

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