DeepSeek-V3 vs Jamba 1.5 Large
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.
Jamba 1.5 Large
AI21 Labs
Jamba 1.5 Large is AI21 Labs' hybrid Mamba-Transformer open LLM with a 256k token context window, designed for text-based tasks. It is well-suited for applications requiring long-context understanding and generation. The model's open weights make it accessible for customization and research.
Spec comparison
| DeepSeek-V3 | Jamba 1.5 Large | |
|---|---|---|
| Provider | DeepSeek | AI21 Labs |
| Category | Open LLM | Open LLM |
| Context window | 128K ctx | 256K ctx |
| Max output | - | - |
| Input price | $0.27 / 1M | $2 / 1M |
| Output price | $1.10 / 1M | $8 / 1M |
| License | DeepSeek License | Jamba Open Model 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.
Jamba 1.5 Large: what it's for
Jamba 1.5 Large is AI21 Labs' hybrid Mamba-Transformer open LLM with a 256k token context window, designed for text-based tasks. It is well-suited for applications requiring long-context understanding and generation. The model's open weights make it accessible for customization and research.