The new DeepSeek V4-Flash model has achieved a score of 50 on the ArtificialAnalysis Index. This result places it just one point below GLM-5.2 and GPT-5.6 Luna.
DeepSeek V4-Flash achieves 50 on ArtificialAnalysis Index
Benchmarks
| Benchmark | Model | Score |
|---|---|---|
| Artificial Analysis Intelligence Index | DeepSeek V4-Flash | 50% |
Kimi K3, DeepSeek V4 Pro, and GLM-5.2 compared on benchmarks, license, and serving cost
A comparison of three open-weight sparse Mixture-of-Experts models—Moonshot AI's Kimi K3, DeepSeek V4 Pro, and Zhipu AI's GLM-5.2—evaluates their capabilities, licensing terms, and serving costs for long-horizon coding and agent workloads.
DeepSeek-V4-Flash-0731 surpasses DeepSeek-V4-Pro-Preview in benchmarks
The DeepSeek-V4-Flash-0731 model now significantly outperforms the DeepSeek-V4-Pro-Preview across various benchmark tests.
DeepSeek-V4-Flash-0731 beats GLM 5.2 at the same cost
The DeepSeek-V4-Flash-0731 model outperforms GLM 5.2 while maintaining the same pricing as its predecessor.
DeepSeek V4 Flash updates with improved Terminal Bench and Toolathlon scores
DeepSeek has updated its V4 Flash model, releasing a new version on 2026-07-31 that shows significant performance gains over the previous preview. The update introduces results for several new benchmarks while improving scores on existing ones.
PIVOT shares prefix scans across query groups to accelerate token-level sparse attention
PIVOT (Proxy Indexing Via One full-prefix Traversal) is a training-free, drop-in replacement for the DeepSeek Sparse Attention (DSA) indexer that reduces computational redundancy by sharing one prefix scan across a group of nearby queries. Instead of scoring every preceding token for each query individually, PIVOT aggregates the group into a single proxy query to obtain a candidate set, from which top-k tokens are selected for each query.