Llama 3 70BvsLlama 3.3 70B
Meta AI vs Meta AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Llama 3 70B | Llama 3.3 70B |
|---|---|---|
| Provider | Meta AI | Meta AI |
| Arena Rank | — | #13 |
| Context Window | 8K | 128K |
| Input Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Output Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Parameters | 70B | 70B |
| Open Source | Yes | Yes |
| Best For | General tasks, fine-tuning, instruction following | Instruction following, coding, reasoning |
| Release Date | Apr 18, 2024 | Dec 6, 2024 |
Llama 3 70B
Llama 3 70B, developed by Meta AI, is a high-capability open-source model with 70 billion parameters and an 8K token context window. The model competes with proprietary alternatives on reasoning, coding, instruction following, and general knowledge tasks. Trained on over 15 trillion tokens, it represented a significant capability upgrade over Llama 2 across all benchmark categories. Llama 3 70B requires multiple GPUs for inference but can be deployed on standard enterprise hardware, enabling organizations to run powerful AI on their own infrastructure. Its open-source license permits commercial use, fine-tuning, and redistribution without fees. The model has become a foundation for enterprise AI deployments where data sovereignty requirements prevent use of cloud-based API services. It remains widely deployed despite the release of newer Llama versions.
Llama 3.3 70B
Llama 3.3 70B, developed by Meta AI, is an efficiency-optimized open-source model with 70 billion parameters and a 128K token context window. The model delivers capability comparable to the much larger Llama 3.1 405B, achieving near-frontier performance at a fraction of the compute requirements. This efficiency breakthrough means organizations can deploy competitive AI capabilities on significantly less hardware. Llama 3.3 excels at instruction following, coding, and structured reasoning tasks. Free and open-source, it runs on standard enterprise GPU setups and has become the de facto choice for organizations needing powerful, self-hosted AI. Its strong multilingual support covers dozens of languages. Llama 3.3 70B ranks #13 on the Chatbot Arena leaderboard, demonstrating that careful training optimization can close the gap between mid-size and frontier-scale models.
Key Differences: Llama 3 70B vs Llama 3.3 70B
Llama 3.3 70B supports a larger context window (128K), allowing it to process longer documents in a single request.
Llama 3 70B has 70B parameters vs Llama 3.3 70B's 70B, which affects inference speed and capability.
When to use Llama 3 70B
- +Your use case involves general tasks, fine-tuning, instruction following
When to use Llama 3.3 70B
- +You need to process long documents (128K context)
- +Your use case involves instruction following, coding, reasoning
The Verdict
Llama 3.3 70B wins our head-to-head comparison with 2 out of 5 category wins. It's the stronger choice for instruction following, coding, reasoning, though Llama 3 70B holds an edge in general tasks, fine-tuning, instruction following.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages