DeepSeek-V3 vs Llama 3.1 405B
A side-by-side comparison of two Open LLM models - to help you pick the right one.
DeepSeek-V3
DeepSeek
DeepSeek-V3 is a large open-weight mixture-of-experts model developed by DeepSeek, offering high-quality performance at a relatively low cost. It excels in handling extensive text-based tasks with its 128K context window. The model is particularly efficient for applications requiring deep text understanding and generation.
Llama 3.1 405B
Meta
Llama 3.1 405B is Meta's largest open-weight language model, designed to compete with leading closed frontier models across a variety of tasks. It supports text-based applications and offers a substantial context window of 128,000 tokens.
Spec comparison
| DeepSeek-V3 | Llama 3.1 405B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Category | Open LLM | Open LLM |
| Context window | 128K ctx | 128K ctx |
| Max output | - | - |
| Input price | $0.27 / 1M | - |
| Output price | $1.10 / 1M | - |
| License | DeepSeek License | Llama 3.1 Community License |
| Open weights | Yes | Yes |
| Modality | Text | Text |
Prices and specs are per provider documentation; verify current figures before relying on them.
DeepSeek-V3: what it's for
DeepSeek-V3 is a large open-weight mixture-of-experts model developed by DeepSeek, offering high-quality performance at a relatively low cost. It excels in handling extensive text-based tasks with its 128K context window. The model is particularly efficient for applications requiring deep text understanding and generation.
Llama 3.1 405B: what it's for
Llama 3.1 405B is Meta's largest open-weight language model, designed to compete with leading closed frontier models across a variety of tasks. It supports text-based applications and offers a substantial context window of 128,000 tokens.