AI model comparison
Nemotron 3.5 Super VL vs DeepSeek V4 Pro 0423
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
DeepSeek
DeepSeek V4 Pro 0423
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.
- Input / 1M
- $0.44
- Output / 1M
- $0.89
- Context
- 1.05M
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
2.4x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Pro 0423
30.4 vs 26.5 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
DeepSeek V4 Pro 042330.4Coding index
DeepSeek V4 Pro 042359.4Agentic index
DeepSeek V4 Pro 042326.3Pricing
Nemotron 3.5 Super VL vs DeepSeek V4 Pro 0423 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Pro 0423 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.44 |
| Output tokensPer 1M tokens | $0.50 | $0.89 |
| Cached input (read)Per 1M tokens | $0.02 | $0.04 |
| Cache writePer 1M tokens | Not available | Not available |
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
DeepSeek V4 Pro 0423$1.33Coding task
30K in, 4K out
DeepSeek V4 Pro 0423$16.82$4.65 cachedLong document summary
150K in, 2K out
DeepSeek V4 Pro 0423$68.17$7.30 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4 Pro 0423 | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 236K tokens | 384K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Extra high, High, None |
| Default reasoning effort | Not available | High |
| Release date | October 15, 2026 | April 24, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Pro 0423 | |
|---|---|---|
| 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 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 Qwen3.7 Plus
- 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
DeepSeek V4 Pro 0423View full model details- DeepSeek V4 Pro 0423 vs DeepSeek V4.1 Flash
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Pro 0423 vs Hy3
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash 0423
- DeepSeek V4 Pro 0423 vs MiniMax M3
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Pro 0813
- DeepSeek V4 Pro 0423 vs Solar Pro 4
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash Vision Exp
- DeepSeek V4 Pro 0423 vs DeepSeek V3.2
- DeepSeek V4 Pro 0423 vs MiMo-V2.5-Pro
Our take
Nemotron 3.5 Super VL is 2.4x cheaper for a typical chat. DeepSeek V4 Pro 0423 scores higher on the Artificial Analysis Intelligence Index (30.4 vs 26.5). 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 DeepSeek V4 Pro 0423 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 DeepSeek V4 Pro 0423 costs $0.44 per 1M input tokens and $0.89 per 1M output tokens.
Which has a bigger context window, Nemotron 3.5 Super VL or DeepSeek V4 Pro 0423?
Nemotron 3.5 Super VL supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4 Pro 0423.
Is Nemotron 3.5 Super VL smarter than DeepSeek V4 Pro 0423?
On the Artificial Analysis Intelligence Index, Nemotron 3.5 Super VL scores 26.5 and DeepSeek V4 Pro 0423 scores 30.4, putting DeepSeek V4 Pro 0423 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 DeepSeek V4 Pro 0423 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 DeepSeek V4 Pro 0423 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3.5 Super VL and DeepSeek V4 Pro 0423 at the same time. Compare the answers side by side and keep the best one.