AI model comparison
Nemotron 3.5 Super VL vs Qwen3.7 Plus
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
NVIDIA
Nemotron 3.5 Super VL
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
Qwen
Qwen3.7 Plus
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series.
- Input / 1M
- $0.32
- Output / 1M
- $1.28
- Context
- 1M
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
2.3x cheaper for a typical chat
Higher intelligence score
Nemotron 3.5 Super VL
26.5 vs 25.2 on Artificial Analysis
Larger context window
Nemotron 3.5 Super VL
1.05M vs 1M 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
Qwen3.7 Plus25.2Coding index
Qwen3.7 Plus55.9Agentic index
Qwen3.7 Plus17.5Pricing
Nemotron 3.5 Super VL vs Qwen3.7 Plus API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.32 |
| Output tokensPer 1M tokens | $0.50 | $1.28 |
| Cached input (read)Per 1M tokens | $0.02 | $0.06 |
| Cache writePer 1M tokens | Not available | $0.40 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.96 in / $3.84 out above 256K |
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
Qwen3.7 Plus$1.28Coding task
30K in, 4K out
Qwen3.7 Plus$14.72$7.04 cachedLong document summary
150K in, 2K out
Qwen3.7 Plus$50.56$12.16 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| Context window | 1.05M tokens | 1M tokens |
| Max output | 236K tokens | 131K tokens |
| Input types | Image, Text, Video | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | October 15, 2026 | June 3, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| 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 DeepSeek V4 Pro 0423
- Nemotron 3.5 Super VL vs MiniMax M3
- Nemotron 3.5 Super VL vs Solar Pro 4
- Nemotron 3.5 Super VL vs Gemini 3 Flash Preview
- Nemotron 3.5 Super VL vs MiMo-V2.5-Pro
- Nemotron 3.5 Super VL vs Inkling Small
- Nemotron 3.5 Super VL vs Hy3
- Nemotron 3.5 Super VL vs Ling 3.0 Flash VL
- Nemotron 3.5 Super VL vs DeepSeek V4 Flash 0423
- Nemotron 3.5 Super VL vs Solar Mini 4
Qwen3.7 PlusView full model details- Qwen3.7 Plus vs Hy3
- Qwen3.7 Plus vs DeepSeek V4 Flash 0423
- Qwen3.7 Plus vs MiniMax M3
- Qwen3.7 Plus vs Gemini 3 Flash Preview
- Qwen3.7 Plus vs Solar Mini 4
- Qwen3.7 Plus vs Qwen3.6 35B A3B
- Qwen3.7 Plus vs Qwen3.6 Plus
- Qwen3.7 Plus vs MiMo-V2.5-Pro
- Qwen3.7 Plus vs Grok 4.20
- Qwen3.7 Plus vs Inkling Small
- Qwen3.7 Plus vs Ling 3.0 Flash VL
- Qwen3.7 Plus vs Qwen3.5-27B
- Qwen3.7 Plus vs MiniMax M2.7
- Qwen3.7 Plus vs Qwen3.6 27B
Our take
Nemotron 3.5 Super VL is 2.3x cheaper for a typical chat. Nemotron 3.5 Super VL scores higher on the Artificial Analysis Intelligence Index (26.5 vs 25.2). Nemotron 3.5 Super VL has the larger context window (1.05M vs 1M tokens). 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 Qwen3.7 Plus 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 Qwen3.7 Plus costs $0.32 per 1M input tokens and $1.28 per 1M output tokens.
Which has a bigger context window, Nemotron 3.5 Super VL or Qwen3.7 Plus?
Nemotron 3.5 Super VL supports up to 1.05M tokens of context, compared with 1M for Qwen3.7 Plus.
Is Nemotron 3.5 Super VL smarter than Qwen3.7 Plus?
On the Artificial Analysis Intelligence Index, Nemotron 3.5 Super VL scores 26.5 and Qwen3.7 Plus scores 25.2, 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 Qwen3.7 Plus 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 Qwen3.7 Plus answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3.5 Super VL and Qwen3.7 Plus at the same time. Compare the answers side by side and keep the best one.