DeepSeek V4.1 Flash 1017
Lineage
- Company
- DeepSeek
- DeepSeek Flash family
- DeepSeek V4 Flash 0731DeepSeek V4.1 FlashDeepSeek V4.1 Flash 1017the family
- Assistants that offer it
- DeepSeekdefault, free (no paid plan known for the app) (official page ↗)
- API price
- 0.30 $ per million tokens read, 1.20 $ written (api-docs.deepseek.com, read on 5 November 2026)
Links read on 10/11/2026 on company pages, the press as a fallback; a link given for a family applies only to its latest version.
Rank in each benchmark
- General intelligenceEpoch AI, ECI index159.3157.1 to 161.921st out of 71
- Agent tasksEpoch AI, APEX-Agents69.8 %60.2 to 79.45th out of 52
- Coding tasksEpoch AI, CursorBench47.7 %7th out of 18
- User preferenceLMArena, Elo scorenot measured
- Code repairEpoch AI, DeepSWEnot measured
Each segment of the bar is worth a tenth of the ranking; the 1st groups the best ranked. Rank among models released in 2026 and measured by the benchmark. Sources: Epoch AI, "Capabilities & benchmarking" (CC BY 4.0); LMArena, text with style control (CC BY 4.0); data as of 10 November 2026.
Success and electricity use of DeepSeek V4.1 Flash 1017 by effort setting
CursorBench benchmark, 4 settings; electricity use of a task in Wh, estimate, logarithmic scale; data as of 10 November 2026
Line: from setting to setting, at the middle of the rangeBar: the electricity use of a task, from "all read" to "all written" (estimate)
Sources: Epoch AI, CursorBench; electricity: Projet Celsius estimate, AI Impact Database (IA-0011). Licence CC BY 4.0.
Estimation methodology
The effort setting says how much the model reasons before answering: the higher it is, the more tokens it writes, and the more electricity the task needs. Tokens per task are measured by Epoch AI.
Electricity: Projet Celsius estimate. Tokens of the task × electricity ofwriting 1,000 tokens for the size of the model (AI Impact Database, IA-0011), × the data centre overhead (PUE). The scope covers computing on the servers and cooling; it does not cover chip manufacturing, training, the network or the device. CursorBench counts tokens read and written together: the range runs from "all read" to "all written". DeepSWE counts tokens written: the range starts from writing alone.
Assumed model size: small class, deduced from the output price (api-docs.deepseek.com), assumption. If the model were medium-sized, the estimate would be 6 times higher. Benchmark: a quick question to an assistant needs about 0.3 Wh.
DeepSeek V4.1 Flash 1017 among DeepSeek's models, general intelligence
Epoch AI ECI index and its 95% interval, by release date; 4 DeepSeek models released in 2026 and measured by the ECI index
Dot: the index measured, at the release dateLine: the 95% intervalDeepSeek V4.1 Flash 1017
Source: Epoch AI, "Capabilities & benchmarking", ECI index. CC BY 4.0 licence.
On a coding task, DeepSeek V4.1 Flash 1017 needs 21 to 62 Wh at its most demanding setting, as much as about 70 to 210 quick questions to an assistant (about 0.3 Wh each).
Continue in the ranking
The full ranking →CompanyDeepSeek4models measured, of which 1 with an entryIts assistant, its models, its governance and the electricity of its data centres.The entry →FamilyDeepSeekDeepSeek Flash3measured versionsThe versions of the family, their release and their rank in each benchmark.The family →AssistantDeepSeek35out of 100, 9th out of 10The assistant in the ranking that offers DeepSeek V4.1 Flash 1017.The entry →The hub newsletter
This month's ranking, news on the impact of AI and one figure from the AI Impact Database. One newsletter a month at most, free of charge. Past issues
