AI model comparison
Nemotron 3.5 Super VL vs MiMo-V2.5-Pro
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
Xiaomi
MiMo-V2.5-Pro
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro.
MiMo-V2.5-Pro is scheduled to be retired on October 21, 2026. Consider MiMo-V2.6-Pro instead.
- Input / 1M
- $0.44
- Output / 1M
- $0.87
- 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
Nemotron 3.5 Super VL
26.5 vs 26 on Artificial Analysis
Larger context window
MiMo-V2.5-Pro
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
Coding index
Agentic index
Pricing
Nemotron 3.5 Super VL vs MiMo-V2.5-Pro API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.44 |
| Output tokensPer 1M tokens | $0.50 | $0.87 |
| Cached input (read)Per 1M tokens | $0.02 | $0.00 |
| 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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 236K tokens | 131K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | October 15, 2026 | April 22, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| 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 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
- MiMo-V2.5-Pro vs Hy3
- MiMo-V2.5-Pro vs DeepSeek V4 Flash 0423
- MiMo-V2.5-Pro vs MiniMax M3
- MiMo-V2.5-Pro vs Gemini 3 Flash Preview
- MiMo-V2.5-Pro vs Solar Mini 4
- MiMo-V2.5-Pro vs Solar Pro 4
- MiMo-V2.5-Pro vs DeepSeek V4 Pro 0423
- MiMo-V2.5-Pro vs MiMo-V2.5
- MiMo-V2.5-Pro vs Inkling Small
- MiMo-V2.5-Pro vs Qwen3.7 Plus
- MiMo-V2.5-Pro vs Ling 3.0 Flash VL
- MiMo-V2.5-Pro vs MiniMax M2.5
Our take
Nemotron 3.5 Super VL is 2.4x cheaper for a typical chat. Nemotron 3.5 Super VL scores higher on the Artificial Analysis Intelligence Index (26.5 vs 26). MiMo-V2.5-Pro has the larger context window (1.05M vs 1.05M 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 MiMo-V2.5-Pro 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 MiMo-V2.5-Pro costs $0.44 per 1M input tokens and $0.87 per 1M output tokens.
Which has a bigger context window, Nemotron 3.5 Super VL or MiMo-V2.5-Pro?
MiMo-V2.5-Pro supports up to 1.05M tokens of context, compared with 1.05M for Nemotron 3.5 Super VL.
Is Nemotron 3.5 Super VL smarter than MiMo-V2.5-Pro?
On the Artificial Analysis Intelligence Index, Nemotron 3.5 Super VL scores 26.5 and MiMo-V2.5-Pro scores 26, 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 MiMo-V2.5-Pro 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 MiMo-V2.5-Pro answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3.5 Super VL and MiMo-V2.5-Pro at the same time. Compare the answers side by side and keep the best one.