DeepSeek V4
Next-generation multimodal MoE model. Launch details and pricing are coming soon.
- Reported ~1T parameters with sparse MoE activation.
- Multimodal roadmap across text, image, and video.
- Benchmarks and release timing are unconfirmed.
DeepSeek V4 is positioned as the next-generation multimodal MoE release in the lineup. Public research notes point to trillion-scale capacity with sparse activation, aiming to lift reasoning, code, and long-context reliability without linear compute cost.
Reported goals include longer context windows (often cited at 100K-class), stronger tool-use stability, and higher multimodal fidelity across image and video inputs. Official specifications, benchmarks, and pricing are still pending, so all details should be treated as provisional until launch.
Teams can prepare by validating pipelines against today's models and keeping integrations flexible. Use V3.1 for general workloads, R1 for step-by-step reasoning, Math-7B for cost-sensitive math, Janus-Pro-7B for generation, and VL2 for OCR/document tasks while waiting for V4 access.
- Sparse MoE routing at trillion-scale capacity.
- Long-context expansion and memory efficiency.
- Multimodal roadmap across image and video.
- Launch readiness, evaluations, and safety checks.
- Access policy, pricing, and rollout timing.