DeepSeek V4 Flash 0731 (Reasoning, Max Effort)
Descripción
DeepSeek-V4-Flash-Max is the maximum reasoning effort mode of DeepSeek-V4-Flash, a 284B-parameter MoE model with 13B activated parameters and a 1M-token context window. Sharing the V4 series' hybrid attention architecture (Compressed Sparse Attention combined with Heavily Compressed Attention), Manifold-Constrained Hyper-Connections, and Muon optimizer, V4-Flash-Max delivers reasoning performance comparable to V4-Pro when given a larger thinking budget while operating at a fraction of the parameter scale. It is pre-trained on more than 32T tokens and post-trained with a two-stage paradigm of domain-specific expert cultivation followed by on-policy distillation.
Radar de capacidades
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 74 | 45.0 | LS |
| Ranking de codificación | 35 | 88.0 | AA |
| Ranking general | 34 | 82.0 | AA |
| Ciencia | 47 | 82.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Biology
Code
Factuality
Finance
General
Math
Índices de evaluación AA
(Artificial Analysis)Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Precios
Velocidad
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
8 proveedores
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