Model vs model
DeepSeek V4.1 Flash 1017 vs Gemma 4 26B A4B IT
DeepSeek V4.1 Flash 1017 has the widest lead on Humanity's Last Exam, scoring 43.3 against 19.3 for Gemma 4 26B A4B IT, so it is the pick for hard reasoning. Both cost $0.26 per 1M tokens blended, so price doesn't separate them. Gemma 4 26B A4B IT is the choice if you need PDF input, since DeepSeek V4.1 Flash 1017 accepts only text and images.
At a glance
Longer bar means the bigger number.
Intelligence Index · Artificial Analysis, higher is better
Context window · tokens it can read at once
Where they sit among all 44 models
DeepSeek V4.1 Flash 1017 ranks 10th of the 43 models with an Intelligence Index, Gemma 4 26B A4B IT 34th. 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 higher overall score (45.1 vs 16.7)
- you care about Humanity's Last Exam (hard reasoning): 43.3 vs 19.3
- you care about AA-LCR (long documents): 82.7 vs 65.7
- you need a longer context window (1.05M vs 262K tokens)
Pick Gemma 4 26B A4B IT if
- you need to send PDFs
How smart is each one?
Of the 5 scores both models have, DeepSeek V4.1 Flash 1017 is ahead on every one.
Every intelligence score we have
Out of 100, higher is better. DeepSeek V4.1 Flash 1017 Gemma 4 26B A4B IT
Overall
Intelligence Index
45.116.7
By area
Coding
39.3DeepSeek V4.1 Flash 1017: not scored yet
Agentic work
2.9DeepSeek V4.1 Flash 1017: not scored yet
By field of work
Finance & accounting
48.3Gemma 4 26B A4B IT: not scored yet
Legal
46.4Gemma 4 26B A4B IT: not scored yet
Healthcare & medicine
43.7Gemma 4 26B A4B IT: not scored yet
Economics
50.518.9Engineering
45.2Gemma 4 26B A4B IT: not scored yet
Strategy & operations
52.5Gemma 4 26B A4B IT: not scored yet
Benchmarks
Factual knowledge · SimpleQA
42.5Gemma 4 26B A4B IT: not scored yet
Hard reasoning · Humanity's Last Exam
43.319.3Science · GPQA Diamond
79.2DeepSeek V4.1 Flash 1017: not scored yet
Scientific coding · SciCode
55.940Terminal tasks · Terminal-Bench 4.0
33.8Gemma 4 26B A4B IT: not scored yet
Tool use · τ-Bench Banking
12DeepSeek V4.1 Flash 1017: not scored yet
Instruction following · IFBench
72.4DeepSeek V4.1 Flash 1017: not scored yet
Long documents · AA-LCR
82.765.7Uncensored · UGI
20.8DeepSeek V4.1 Flash 1017: not scored yet
The specs
| Spec | DeepSeek V4.1 Flash 1017 | Gemma 4 26B A4B IT |
|---|---|---|
| Input price | $0.15 per 1M | $0.15 per 1M |
| Output price | $0.60 per 1M | $0.60 per 1M |
| Cost per test task | $0.2620 | Not tested |
| Context window | 1.05M | 262K |
| Max output | 393K | 131K |
| Accepts | Text, Image | Text, Image, PDF |
| Open weights | Yes | Yes |
| Lab | DeepSeek | |
| Released | Oct 2026 | Apr 2026 |
| Knowledge cutoff | May 2025 | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.
Questions
Is DeepSeek V4.1 Flash 1017 or Gemma 4 26B A4B IT cheaper?
They cost the same, $0.26 per 1M tokens blended.
Which is smarter, DeepSeek V4.1 Flash 1017 or Gemma 4 26B A4B IT?
DeepSeek V4.1 Flash 1017 scores higher on the Artificial Analysis Intelligence Index, 45.1 against 16.7 for Gemma 4 26B A4B IT. The biggest differences are on Humanity's Last Exam (43.3 vs 19.3) and AA-LCR (82.7 vs 65.7).
Which has the longer context window?
DeepSeek V4.1 Flash 1017 accepts 1.05M tokens, against 262K for Gemma 4 26B A4B IT.
Can I compare DeepSeek V4.1 Flash 1017 and Gemma 4 26B A4B IT 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 25, 2026.