Meta Established Open weight Not in FlowHunt

Llama 3.3 70B

Llama 3.3 70B is a proven AI model still widely deployed in production systems, developed by Meta and released in December 2024. As an open-weight model, its trained weights are publicly available — you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. It supports a 128K-token context window, adequate for most documents and multi-turn applications.

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Llama 3.3 70B was released on December 6, 2024 as one of Meta’s final Llama 3 series models before the architectural transition to Llama 4. As a dense (non-MoE) 70B parameter model, it reflected the Llama 3 generation’s philosophy of straightforward scalable architecture: more parameters, better results, transparent structure. Its 128K context window and strong MMLU-Pro and SWE-bench scores made it the leading self-hosted model for teams with GPU resources adequate for dense 70B inference but not a MoE system. It remains popular in regulated industries — healthcare, finance, legal — where the transparency and auditability of a dense architecture, combined with open-weight availability, matter as much as raw capability.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Established peers on the same scale
  • Llama 3.3 70Bthis model
  • GPT-4othis model leads on 1 of 3
  • Llama 4 Maverickthis model leads on 0 of 3
Verified independent evaluator, counted in the ranking
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

Llama 3.3 70B 7.7 GPT-4o 8.4 Llama 4 Maverick 10.0
#44of 45 Verified
Reasoning

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗

Llama 3.3 70B 3.6% GPT-4o 2.4% Llama 4 Maverick 4.9%
#43of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Self-reported 50.5%

Llama 3.3 70B 49.8% GPT-4o 54.3% Llama 4 Maverick 67.1%
#36of 37 Verified

What to Use Llama 3.3 70B For

Scientific & Technical Reasoning

It handles general scientific Q&A at a solid level, though frontier models score 25+ percentage points higher on the hardest graduate-level problems.

Self-Hosted & Private Deployments

Llama 3.3 70B is open-weight (70B dense parameters) — its trained weights are publicly available for download and self-deployment. Run it on your own GPU hardware or private cloud to ensure data never leaves your environment, eliminate per-token API costs at scale, or fine-tune the model on proprietary datasets.

Strengths and limitations

Strengths

  • Self-hosted & data-private deployments (open-weight)
  • Long-context tasks (128K context window)

Limitations

  • Below-frontier hard science reasoning
  • Significantly behind 2026 frontier models on agentic coding and complex reasoning

Use an alternative in FlowHunt

Llama 3.3 70B is not available in FlowHunt. These models cover similar work and are ready to use:

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About Meta Menlo Park, CA · Founded 2004 · ai.meta.com

Meta Platforms (formerly Facebook) is one of the world's largest technology companies, headquartered in Menlo Park, California, and best known for Facebook, Instagram, WhatsApp, and Threads. Through Meta AI (formerly FAIR), the company has become the most prolific publisher of open-weight large language models via the Llama family. The Llama 4 series — Maverick, Scout, and Behemoth — were released under permissive community licences and remain the most downloaded open-weight models on platforms like Hugging Face. Meta's AI strategy is distinct among major labs: rather than operating a commercial API, Meta releases models openly for research and commercial use, integrates generative AI features across its own applications, and has publicly advocated for open-weight releases as the most democratic approach to AI development.

ai.meta.com ↗

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