What is the main difference between Llama 2 and Llama 3?

Llama 3 offers a context window of 8192 tokens, double the 4096-token limit of Llama 2, and adds coding capability to its chat features, while Llama 2 was the first widely licensed open-weight release. Both are text‑only, open‑weight LLMs from Meta AI.

Is Llama 3 multimodal?

No. The base Llama 3 model released in April 2024 is text‑only, with multimodal set to false. Later variants in the Llama 3 family (such as Llama 3.1 and 3.2) introduced vision capabilities, but the core Llama 3 release does not process images or other modalities.

Can I use Llama 2 for coding tasks?

Llama 2 includes chat functionality but does not list coding as a specific capability. While it can generate code-like text, its training did not emphasize programming assistance to the same extent as Llama 3, which explicitly adds coding support. For dedicated coding help, Llama 3 is the better option.

Which model has a longer context window?

Llama 3 provides the longer context window, supporting up to 8192 tokens, whereas Llama 2 is limited to 4096 tokens. This effectively doubles the amount of text the model can consider in a single prompt or generation.

Are both models open weight?

Yes. Both Llama 2 and Llama 3 are released with open weights, meaning the model parameters are publicly available under Meta’s licensing terms, allowing researchers and developers to fine‑tune, deploy, or study the models without needing to request access from the developer.

Comparison · Updated Aug 25, 2026

Llama 2 vs Llama 3

Llama 2 and Llama 3 are Meta's open-weight LLMs; Llama 3 offers longer context and coding support, while Llama 2 was the first widely licensed release.

Model A

Llama 2

First widely-licensed open-weight Llama release.

Jul 18, 2023

Model B

Llama 3

8B and 70B open-weight release, later extended to Llama 3.1 and 3.2 with vision.

Apr 18, 2024

Differences

Attribute	Llama 2	Llama 3
Developer	Meta AI	Meta AI
Released	2023-07-18	2024-04-18
Context window	4096 tokens	8192 tokens
Open weights	true	true
Modality	text-only	text-only
Capabilities	open weights, chat	open weights, chat, coding
Best for	general chat and research use cases	extended chat, coding assistance, longer-context applications

Verdict

Readers who need a well‑established, broadly licensed model for general chat may prefer Llama 2, while those who require a longer context window and built‑in coding assistance may find Llama 3 more suitable.

Analysis

Overview Llama 2 and Llama 3 are both large language models developed by Meta AI and released as open-weight models. Llama 2 debuted in July 2023 as the first widely licensed release in the Llama series, establishing a foundation for community use and research. Llama 3 followed in April 2024, building on that foundation with architectural refinements that expand its usable context and add explicit coding support to its chat capabilities.

Where they differ The most concrete difference is the context window: Llama 2 supports up to 4096 tokens, whereas Llama 3 doubles that to 8192 tokens, allowing longer inputs or outputs without truncation. In terms of capabilities, both models provide open weights and chat functionality, but Llama 3 additionally lists coding as a supported capability, indicating better assistance for programming‑related prompts. The release dates differ by roughly nine months, with Llama 3 benefiting from subsequent improvements. Both models remain text‑only (multimodal: false) and share the same developer and open‑weight licensing approach.

Which to choose If you need a model that is well‑established, broadly licensed, and sufficient for standard conversational tasks, Llama 2 remains a solid choice. If your work involves longer documents, extended dialogue, or you want built‑in help with code generation and comprehension, Llama 3’s larger context window and coding capability make it the more suitable option. The decision ultimately hinges on whether the extra context and coding support outweigh the familiarity of the earlier release.

Frequently asked

What is the main difference between Llama 2 and Llama 3?: Llama 3 offers a context window of 8192 tokens, double the 4096-token limit of Llama 2, and adds coding capability to its chat features, while Llama 2 was the first widely licensed open-weight release. Both are text‑only, open‑weight LLMs from Meta AI.
Is Llama 3 multimodal?: No. The base Llama 3 model released in April 2024 is text‑only, with multimodal set to false. Later variants in the Llama 3 family (such as Llama 3.1 and 3.2) introduced vision capabilities, but the core Llama 3 release does not process images or other modalities.
Can I use Llama 2 for coding tasks?: Llama 2 includes chat functionality but does not list coding as a specific capability. While it can generate code-like text, its training did not emphasize programming assistance to the same extent as Llama 3, which explicitly adds coding support. For dedicated coding help, Llama 3 is the better option.
Which model has a longer context window?: Llama 3 provides the longer context window, supporting up to 8192 tokens, whereas Llama 2 is limited to 4096 tokens. This effectively doubles the amount of text the model can consider in a single prompt or generation.
Are both models open weight?: Yes. Both Llama 2 and Llama 3 are released with open weights, meaning the model parameters are publicly available under Meta’s licensing terms, allowing researchers and developers to fine‑tune, deploy, or study the models without needing to request access from the developer.