Model vs model
Gemma 4 26B A4B IT vs NVIDIA Nemotron 3.5 Super VL
Pick NVIDIA Nemotron 3.5 Super VL when quality matters most. It scores 26.5 on the Intelligence Index against 16.7 for Gemma 4 26B A4B IT, and 30.7 on Humanity's Last Exam against 19.3. It costs $0.28 per 1M tokens blended, close to Gemma's $0.26. Choose Gemma 4 26B A4B IT for cheaper input at $0.15 per 1M tokens, or for PDF input, which NVIDIA Nemotron 3.5 Super VL does not accept.
At a glance
Longer bar means the bigger number.
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Context window · tokens it can read at once
Where they sit among all 44 models
Gemma 4 26B A4B IT ranks 34th of the 43 models with an Intelligence Index, NVIDIA Nemotron 3.5 Super VL 25th. 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 Gemma 4 26B A4B IT.
Which one to pick
Pick Gemma 4 26B A4B IT if
- you want the lower bill ($0.26 vs $0.28 per 1M tokens blended)
- you need to send PDFs
Pick NVIDIA Nemotron 3.5 Super VL if
- you want the higher overall score (26.5 vs 16.7)
- you care about Humanity's Last Exam (hard reasoning): 30.7 vs 19.3
- you care about SciCode (scientific coding): 47.8 vs 40
- you need a longer context window (1.05M vs 262K tokens)
How smart is each one?
Of the 5 scores both models have, NVIDIA Nemotron 3.5 Super VL is ahead on every one.
Every intelligence score we have
Out of 100, higher is better. Gemma 4 26B A4B IT NVIDIA Nemotron 3.5 Super VL
Overall
Intelligence Index
16.726.5
By area
Coding
39.3NVIDIA Nemotron 3.5 Super VL: not scored yet
Agentic work
2.9NVIDIA Nemotron 3.5 Super VL: not scored yet
By field of work
Finance & accounting
27.2Gemma 4 26B A4B IT: not scored yet
Legal
28.1Gemma 4 26B A4B IT: not scored yet
Healthcare & medicine
25.5Gemma 4 26B A4B IT: not scored yet
Economics
18.938.5Engineering
30.1Gemma 4 26B A4B IT: not scored yet
Strategy & operations
22.6Gemma 4 26B A4B IT: not scored yet
Benchmarks
Hard reasoning · Humanity's Last Exam
19.330.7Science · GPQA Diamond
79.2NVIDIA Nemotron 3.5 Super VL: not scored yet
Scientific coding · SciCode
4047.8Terminal tasks · Terminal-Bench 4.0
0Gemma 4 26B A4B IT: not scored yet
Tool use · τ-Bench Banking
12NVIDIA Nemotron 3.5 Super VL: not scored yet
Instruction following · IFBench
72.4NVIDIA Nemotron 3.5 Super VL: not scored yet
Long documents · AA-LCR
65.769Uncensored · UGI
20.8NVIDIA Nemotron 3.5 Super VL: not scored yet
The specs
| Spec | Gemma 4 26B A4B IT | NVIDIA Nemotron 3.5 Super VL |
|---|---|---|
| Input price | $0.15 per 1M | $0.20 per 1M |
| Output price | $0.60 per 1M | $0.50 per 1M |
| Cost per test task | Not tested | Not tested |
| Context window | 262K | 1.05M |
| Max output | 131K | 1.05M |
| Accepts | Text, Image, PDF | Text, Image |
| Open weights | Yes | Yes |
| Lab | NVIDIA | |
| Released | Apr 2026 | Oct 2026 |
| Knowledge cutoff | Not published | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev.
Questions
Is Gemma 4 26B A4B IT or NVIDIA Nemotron 3.5 Super VL cheaper?
Gemma 4 26B A4B IT is cheaper. It charges $0.15 per 1M input tokens and $0.60 per 1M output tokens, against $0.20 and $0.50 for NVIDIA Nemotron 3.5 Super VL. Blended 3 parts input to 1 part output, that is $0.26 against $0.28 per 1M tokens.
Which is smarter, Gemma 4 26B A4B IT or NVIDIA Nemotron 3.5 Super VL?
NVIDIA Nemotron 3.5 Super VL scores higher on the Artificial Analysis Intelligence Index, 26.5 against 16.7 for Gemma 4 26B A4B IT. The biggest differences are on Humanity's Last Exam (19.3 vs 30.7) and SciCode (40 vs 47.8).
Which has the longer context window?
NVIDIA Nemotron 3.5 Super VL accepts 1.05M tokens, against 262K for Gemma 4 26B A4B IT.
Can I compare Gemma 4 26B A4B IT and NVIDIA Nemotron 3.5 Super VL 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.
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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.