AI model comparison
Nemotron 3.5 Super VL vs Granite 4.2 8B
Side by side comparison of Nemotron 3.5 Super VL and Granite 4.2 8B 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
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning.
- Input / 1M
- $0.06
- Output / 1M
- $0.25
- Context
- 131K
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
Granite 4.2 8B
2.2x cheaper for a typical chat
Higher intelligence score
Nemotron 3.5 Super VL
13.6 vs 5.1 on Artificial Analysis
Larger context window
Nemotron 3.5 Super VL
1.05M vs 131K 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
Granite 4.2 8B5.1Coding index
Granite 4.2 8B22.4Agentic index
Granite 4.2 8B1.3Pricing
Nemotron 3.5 Super VL vs Granite 4.2 8B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Granite 4.2 8B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.06 |
| Output tokensPer 1M tokens | $0.50 | $0.25 |
| Cached input (read)Per 1M tokens | $0.02 | $0.02 |
| 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
Granite 4.2 8B$0.25Coding task
30K in, 4K out
Granite 4.2 8B$2.80$1.45 cachedLong document summary
150K in, 2K out
Granite 4.2 8B$9.50$2.75 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Granite 4.2 8B | |
|---|---|---|
| Context window | 1.05M tokens | 131K tokens |
| Max output | 944K tokens | 118K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Low, None |
| Default reasoning effort | Not available | High |
| Release date | October 15, 2026 | August 31, 2026 |
Features
Supported features
API features available for each model.
| Metric | Granite 4.2 8B | |
|---|---|---|
| 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 V4.1 Flash 1017
- Nemotron 3.5 Super VL vs DeepSeek V4.1 Flash
- 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 Beam 1.0 501B A23B
- 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 Gemini 3.5 Flash Lite
- Nemotron 3.5 Super VL vs Nemotron 3.5 Lightning
- Nemotron 3.5 Super VL vs Mistral Small 4
Granite 4.2 8BView full model details- Granite 4.2 8B vs Muse Glimmer 30B
- Granite 4.2 8B vs Gemini 3.1 Flash Lite
- Granite 4.2 8B vs Command A+
- Granite 4.2 8B vs Nemotron 3.5 Lightning
- Granite 4.2 8B vs Mistral Small 4
- Granite 4.2 8B vs DeepSeek V4.1 Flash
- Granite 4.2 8B vs DeepSeek V4 Flash 0731
- Granite 4.2 8B vs Hy3
- Granite 4.2 8B vs Muse Spark 1.3 Contributor
Our take
Granite 4.2 8B is 2.2x cheaper for a typical chat. Nemotron 3.5 Super VL scores higher on the Artificial Analysis Intelligence Index (13.6 vs 5.1). Nemotron 3.5 Super VL has the larger context window (1.05M vs 131K 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 Granite 4.2 8B cheaper?
Granite 4.2 8B is cheaper for a typical chat (2K input tokens and 500 output tokens). Granite 4.2 8B costs $0.06 per 1M input tokens and $0.25 per 1M output tokens, while Nemotron 3.5 Super VL costs $0.15 per 1M input tokens and $0.50 per 1M output tokens.
Which has a bigger context window, Nemotron 3.5 Super VL or Granite 4.2 8B?
Nemotron 3.5 Super VL supports up to 1.05M tokens of context, compared with 131K for Granite 4.2 8B.
Is Nemotron 3.5 Super VL smarter than Granite 4.2 8B?
On the Artificial Analysis Intelligence Index, Nemotron 3.5 Super VL scores 13.6 and Granite 4.2 8B scores 5.1, 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 Granite 4.2 8B 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 Granite 4.2 8B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3.5 Super VL and Granite 4.2 8B at the same time. Compare the answers side by side and keep the best one.