Model card
DeepSeek-V4-Flash Max.
DeepSeekLarge language model
Added from Papers with Code MMLU-Pro refresh on 2026-05-19.
§ 02 · Benchmarks
Every benchmark DeepSeek-V4-Flash Max has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | LiveCodeBench | Computer Code · Code Generation | pass-1 | 91.6% | #2 | — | source ↗ |
| 02 | BrowseComp | Natural Language Processing · Question Answering | accuracy | 73.2% | #4 | — | source ↗ |
| 03 | SWE-Bench Verified | Computer Code · Code Generation | accuracy | 79.0% | #4 | — | source ↗ |
| 04 | GPQA Diamond | Reasoning · Multi-step Reasoning | accuracy | 88.1% | #9 | — | source ↗ |
| 05 | HLE | Reasoning · Multi-step Reasoning | accuracy | 34.8% | #11 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where DeepSeek-V4-Flash Max actually performs.
§ 04 · Papers
1 paper with results for DeepSeek-V4-Flash Max.
- 2026-04-24· 5 results
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
§ 05 · Related models
Other DeepSeek models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
5
results
0 of 5 rows marked verified.