No source description is available for this model yet.
Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
The model record exists, but no source-linked provider offer is available yet.
Submit a sourceRecorded from the source catalog and provider listings.
deepseek-ai/DeepSeek-V4-Pro-0813Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.
Read the methodologyField-level changes detected between successful source imports.
This record has not changed within the retained import history.
Every figure on this page traces back to one of these records.
Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
GET https://www.modelbench.lol/api/v1/models/deepseek-ai/DeepSeek-V4-Pro-0813curl "https://www.modelbench.lol/api/v1/models/deepseek-ai/DeepSeek-V4-Pro-0813"Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
Yes. The weights are published.
Open MoE flagship with million-token context for coding and long agent runs
DeepSeek V4 FlashFast DeepSeek V4 lane for economical reasoning, coding, and long-context work
DeepSeek V3.2Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use
DeepSeek: DeepSeek V3.2 ExpDeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...