Model vs model
DeepSeek V4.1 Flash 1017 vs Gemini 3.8 Flash
DeepSeek V4.1 Flash 1017 is the better pick on both counts: it scores 45.1 on the Artificial Analysis Intelligence Index against 40.9 for Gemini 3.8 Flash, and costs $0.26 per 1M tokens blended against $1.50. The biggest gap is on Terminal-Bench 4.0 (terminal tasks), where DeepSeek V4.1 Flash 1017 scores 33.8 against 19.7 for Gemini 3.8 Flash.
At a glance
Longer bar means the bigger number.
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Where they sit among all 30 models
DeepSeek V4.1 Flash 1017 ranks 9th of the 29 models with an Intelligence Index, Gemini 3.8 Flash 14th. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with DeepSeek V4.1 Flash 1017.
Which one to pick
Pick DeepSeek V4.1 Flash 1017 if
- you want the lower bill ($0.26 vs $1.50 per 1M tokens blended)
- you want the higher overall score (45.1 vs 40.9)
- you care about Terminal-Bench 4.0 (terminal tasks): 33.8 vs 19.7
- you want open weights you can run yourself
Pick Gemini 3.8 Flash if
- you need to send video, audio and PDFs
How smart is each one?
Of the 11 scores both models have, DeepSeek V4.1 Flash 1017 is ahead on 6 and Gemini 3.8 Flash on 4, and one is within a point.
Every intelligence score we have
Out of 100, higher is better. DeepSeek V4.1 Flash 1017 Gemini 3.8 Flash
Overall
Intelligence Index
45.140.9
By area
Coding
76.3DeepSeek V4.1 Flash 1017: not scored yet
Agentic work
40.2DeepSeek V4.1 Flash 1017: not scored yet
By field of work
Finance & accounting
48.346.8Legal
46.451.6Healthcare & medicine
40.1DeepSeek V4.1 Flash 1017: not scored yet
Economics
50.552.4Engineering
45.242.8Strategy & operations
52.548.4
Benchmarks
Factual knowledge · SimpleQA
42.569.7Hard reasoning · Humanity's Last Exam
43.347.8Science · GPQA Diamond
95.3DeepSeek V4.1 Flash 1017: not scored yet
Scientific coding · SciCode
55.9 · 56.6Terminal tasks · Terminal-Bench 4.0
33.819.7Tool use · τ-Bench Banking
44.9DeepSeek V4.1 Flash 1017: not scored yet
Long documents · AA-LCR
82.781.3Uncensored · UGI
46.7DeepSeek V4.1 Flash 1017: not scored yet
Our tests
Hallucination test · our test, higher means it made up less
77DeepSeek V4.1 Flash 1017: not scored yet
Rule that has to last 4 turns · our test, % of tries passed
100DeepSeek V4.1 Flash 1017: not scored yet
Three bullets, no letter e · our test, % of tries passed
100DeepSeek V4.1 Flash 1017: not scored yet
The specs
| Spec | DeepSeek V4.1 Flash 1017 | Gemini 3.8 Flash |
|---|---|---|
| Input price | $0.15 per 1M | $0.75 per 1M |
| Output price | $0.60 per 1M | $3.75 per 1M |
| Context window | 1.05M | 1.05M |
| Max output | 393K | 66K |
| Accepts | Text, Image | Text, Image, Video, Audio, PDF |
| Open weights | Yes | No |
| Lab | DeepSeek | |
| Released | Oct 2026 | Sep 2026 |
| Knowledge cutoff | May 2025 | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev.
Questions
Is DeepSeek V4.1 Flash 1017 or Gemini 3.8 Flash cheaper?
DeepSeek V4.1 Flash 1017 is cheaper. It charges $0.15 per 1M input tokens and $0.60 per 1M output tokens, against $0.75 and $3.75 for Gemini 3.8 Flash. Blended 3 parts input to 1 part output, that is $0.26 against $1.50 per 1M tokens.
Which is smarter, DeepSeek V4.1 Flash 1017 or Gemini 3.8 Flash?
DeepSeek V4.1 Flash 1017 scores higher on the Artificial Analysis Intelligence Index, 45.1 against 40.9 for Gemini 3.8 Flash. The biggest differences are on Terminal-Bench 4.0 (33.8 vs 19.7) and Humanity's Last Exam (43.3 vs 47.8).
Which has the longer context window?
Both accept 1.05M tokens.
Can I compare DeepSeek V4.1 Flash 1017 and Gemini 3.8 Flash on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 23, 2026.