# Nemotron 3.5 Super VL vs Qwen3 30B A3B

As of November 12, 2026, Nemotron 3.5 Super VL costs 1% more per input token than Qwen3 30B A3B ($0.081 vs $0.08 per 1M) and has a 1M-token context window versus 41K.

- Page: https://models.litellm.ai/compare/nemotron-3.5-super-vl-vs-qwen3-30b-a3b
- Nemotron 3.5 Super VL: https://models.litellm.ai/models/nemotron-3.5-super-vl
- Qwen3 30B A3B: https://models.litellm.ai/models/qwen3-30b-a3b

## Side by side

| | Nemotron 3.5 Super VL | Qwen3 30B A3B |
|---|---|---|
| Input, per 1M tokens | $0.081 | $0.08 |
| Output, per 1M tokens | $0.4725 | $0.25 |
| Cache read, per 1M tokens | $0.0135 | – |
| Cache write, per 1M tokens | – | – |
| Context window | 1,048,576 tokens | 40,946 tokens |
| Max output | 235,929 tokens | 16,384 tokens |
| Image input | Yes | – |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | – |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 2 | 11 |
| Price shown is from | Kyma API | GMI Cloud |
| Added to LiteLLM | October 30, 2026 | July 2025 |

Headline prices in USD per 1M tokens, from LiteLLM's model price file.

## Cheapest provider for each

- Nemotron 3.5 Super VL: Kyma API at $0.081 input per 1M tokens (`kyma/nemotron-3.5-super-vl`)
- Qwen3 30B A3B: GMI Cloud at $0.08 input per 1M tokens (`gmi/Qwen/Qwen3-30B-A3B`)

## When to pick which

- Nemotron 3.5 Super VL: Larger context window: 1,048,576 vs 40,946 tokens.
- Nemotron 3.5 Super VL: Returns up to 235,929 tokens per response, vs 16,384.
- Qwen3 30B A3B: Costs 47% less per output token: $0.25 vs $0.4725 per 1M.
- Qwen3 30B A3B: Available from 11 providers through LiteLLM, vs 2.

## FAQ

### Which is cheaper, Nemotron 3.5 Super VL or Qwen3 30B A3B?

Qwen3 30B A3B is cheaper at 3 input tokens per output token: $0.1225 per 1M tokens blended ($0.08 input, $0.25 output), versus $0.1789 ($0.081 and $0.4725) for Nemotron 3.5 Super VL, as of November 12, 2026.

### Which has the larger context window, Nemotron 3.5 Super VL or Qwen3 30B A3B?

Nemotron 3.5 Super VL has the larger context window: 1,048,576 tokens, versus 40,946 for Qwen3 30B A3B.

### Can I switch from Nemotron 3.5 Super VL to Qwen3 30B A3B without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "kyma/nemotron-3.5-super-vl" to "gmi/Qwen/Qwen3-30B-A3B", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.