DeepSeek v4 (unknown): benchmark scores, price and ranking
DeepSeek v4 (unknown) from DeepSeek ranks #223 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.0), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- DeepSeek
- Type
- Frontier model
- Open weights
- No
- Released
- 2026-04-24 (source: epoch)
- Aggregate rank
- #223 of 743 (score 50.0)
Across the 1 benchmark where at least ten models are scored, DeepSeek v4 (unknown) is in the top 10% on 0 and in the top half on 1.
DeepSeek v4 (unknown) benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| SimpleBench | 46.3% | #25 of 61 | Epoch AI Benchmarking Hub | 2026-10-13 |
About DeepSeek v4 (unknown)
DeepSeek v4 (unknown) is a frontier model from DeepSeek. It was released on 2026-04-24, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where DeepSeek v4 (unknown) stands
On our aggregate score, DeepSeek v4 (unknown) is #223 of 743 ranked models, around the middle of the table. Its score is 50.0; the scale is centred on 50, so it sits 0.0 points below the typical model. That beats 70% of the ranked field. Among the 33 ranked DeepSeek models it is #11. The next one up is DeepSeek-V3.2-Speciale at 50.4. The next one down is DeepSeek Coder V2 0724 at 49.9.
DeepSeek v4 (unknown), benchmark by benchmark
SimpleBench puts DeepSeek v4 (unknown) at 46.3%, #25 of 61. That beats 59% of the models tested, but 35.6 points short of Claude Fable 5 (max) (81.9%). The results either side are Kimi K2.5 (46.8%) and MiniMax-M3 (45.8%). It covers trick questions that test common sense. The board median is 41.4%, so DeepSeek v4 (unknown) is 4.9 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The DeepSeek model released before it was DeepSeek v4 Pro (max) on 2026-04-24, which scores 51.6. The next one was DeepSeek V4 Flash 0731 (max) on 2026-07-31, at 53.1.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #220 claude-sonnet-4-20250514_2K (50.0)
- #221 gemini-exp-1114 (50.0)
- #222 gemini-2.5-flash-preview-09-2025 (50.0)
- #224 Devstral Small (2512) (49.9)
- #225 claude-sonnet-4-20250514_32K (49.9)
- #226 Mistral-Small-4-119B-2603 (49.9)
More from DeepSeek
- DeepSeek V4 Pro 0813 (max) (#23, 54.3)
- DeepSeek V4 Flash 0731 (max) (#42, 53.1)
- DeepSeek-V3.2-Exp (high) (#67, 52.4)
- deepseek-v4.1-flash-max (#75, 52.2)
- DeepSeek-V2.5-1210 (#101, 51.7)
- DeepSeek v4 Pro (max) (#108, 51.6)
Compare it on the live leaderboard → · How the aggregate score works