AI model comparison
Nemotron 3.5 Super VL vs Gemini 3.5 Flash Lite
Side by side comparison of Nemotron 3.5 Super VL and Gemini 3.5 Flash Lite on pricing, benchmark scores, context window, and more.
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- Context
- 1.05M
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.
- Input / 1M
- $0.30
- Output / 1M
- $2.50
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nemotron 3.5 Super VL
3.4x cheaper for a typical chat
Higher intelligence score
Nemotron 3.5 Super VL
13.6 vs 11.7 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
Nemotron 3.5 Super VL
Released October 15, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemini 3.5 Flash Lite11.7Coding index
Gemini 3.5 Flash Lite49.3Agentic index
Gemini 3.5 Flash Lite14.3Pricing
Nemotron 3.5 Super VL vs Gemini 3.5 Flash Lite API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 3.5 Flash Lite | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.30 |
| Output tokensPer 1M tokens | $0.50 | $2.50 |
| Cached input (read)Per 1M tokens | $0.02 | $0.03 |
| Cache writePer 1M tokens | Not available | $0.08 |
| Web searchPer request | Not available | $0.014 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Gemini 3.5 Flash Lite$1.85Coding task
30K in, 4K out
Gemini 3.5 Flash Lite$19$10.90 cachedLong document summary
150K in, 2K out
Gemini 3.5 Flash Lite$50$9.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemini 3.5 Flash Lite | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 236K tokens | 66K tokens |
| Input types | Image, Text, Video | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Medium, Low, Minimal |
| Default reasoning effort | Not available | Minimal |
| Release date | October 15, 2026 | July 21, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemini 3.5 Flash Lite | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Nemotron 3.5 Super VL vs GPT-6 Luna
- Nemotron 3.5 Super VL vs Qwen3.8 27B
- Nemotron 3.5 Super VL vs MiniMax M3
- Nemotron 3.5 Super VL vs Inkling Small
- Nemotron 3.5 Super VL vs Inkling
- Nemotron 3.5 Super VL vs Nemotron 3 Ultra
- Nemotron 3.5 Super VL vs Muse Glimmer 30B
- Nemotron 3.5 Super VL vs DeepSeek V4.1 Flash 1017
- Nemotron 3.5 Super VL vs DeepSeek V4.1 Flash
- Nemotron 3.5 Super VL vs GLM 5.3 Flash
- Nemotron 3.5 Super VL vs Hy3
Gemini 3.5 Flash LiteView full model details- Gemini 3.5 Flash Lite vs MiniMax M3
- Gemini 3.5 Flash Lite vs Inkling Small
- Gemini 3.5 Flash Lite vs Inkling
- Gemini 3.5 Flash Lite vs Nemotron 3 Ultra
- Gemini 3.5 Flash Lite vs Muse Glimmer 30B
- Gemini 3.5 Flash Lite vs Command A+
- Gemini 3.5 Flash Lite vs Hy4 preview
- Gemini 3.5 Flash Lite vs Gemini 3 Flash Preview
- Gemini 3.5 Flash Lite vs Gemini 3.1 Flash Lite
- Gemini 3.5 Flash Lite vs Gemini 3.7 Flash
- Gemini 3.5 Flash Lite vs Gemini 2.5 Flash
Our take
Nemotron 3.5 Super VL is 3.4x cheaper for a typical chat. Nemotron 3.5 Super VL scores higher on the Artificial Analysis Intelligence Index (13.6 vs 11.7). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Nemotron 3.5 Super VL or Gemini 3.5 Flash Lite cheaper?
Nemotron 3.5 Super VL is cheaper for a typical chat (2K input tokens and 500 output tokens). Nemotron 3.5 Super VL costs $0.15 per 1M input tokens and $0.50 per 1M output tokens, while Gemini 3.5 Flash Lite costs $0.30 per 1M input tokens and $2.50 per 1M output tokens.
Which has a bigger context window, Nemotron 3.5 Super VL or Gemini 3.5 Flash Lite?
Nemotron 3.5 Super VL supports up to 1.05M tokens of context, compared with 1.05M for Gemini 3.5 Flash Lite.
Is Nemotron 3.5 Super VL smarter than Gemini 3.5 Flash Lite?
On the Artificial Analysis Intelligence Index, Nemotron 3.5 Super VL scores 13.6 and Gemini 3.5 Flash Lite scores 11.7, putting Nemotron 3.5 Super VL ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nemotron 3.5 Super VL and Gemini 3.5 Flash Lite at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nemotron 3.5 Super VL and Gemini 3.5 Flash Lite answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3.5 Super VL and Gemini 3.5 Flash Lite at the same time. Compare the answers side by side and keep the best one.