# Nvidia Nemotron 3.5 Super VL 120B A12B vs Qwen3 8 27B

As of November 12, 2026, Qwen3 8 27B costs 13% more per input token than Nvidia Nemotron 3.5 Super VL 120B A12B ($0.17 vs $0.15 per 1M) and has a 256K-token context window versus 1M.

- Page: https://models.litellm.ai/compare/nvidia-nemotron-3.5-super-vl-120b-a12b-vs-qwen3.8-27b
- Nvidia Nemotron 3.5 Super VL 120B A12B: https://models.litellm.ai/models/nvidia-nemotron-3.5-super-vl-120b-a12b
- Qwen3 8 27B: https://models.litellm.ai/models/qwen3.8-27b

## Side by side

| | Nvidia Nemotron 3.5 Super VL 120B A12B | Qwen3 8 27B |
|---|---|---|
| Input, per 1M tokens | $0.15 | $0.17 |
| Output, per 1M tokens | $0.50 | $0.50 |
| Cache read, per 1M tokens | $0.02 | $0.08 |
| Cache write, per 1M tokens | – | – |
| Context window | 1,049,000 tokens | 262,144 tokens |
| Max output | 943,718 tokens | 32,768 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 3 | 11 |
| Price shown is from | Weights & Biases | EmpirioLabs AI |
| Added to LiteLLM | October 16, 2026 | August 27, 2026 |

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

## Cheapest provider for each

- Nvidia Nemotron 3.5 Super VL 120B A12B: Weights & Biases at $0.15 input per 1M tokens (`wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B`)
- Qwen3 8 27B: EmpirioLabs AI at $0.17 input per 1M tokens (`empiriolabs/qwen3-8-27b`)

## When to pick which

- Nvidia Nemotron 3.5 Super VL 120B A12B: Costs 12% less per input token: $0.15 vs $0.17 per 1M.
- Nvidia Nemotron 3.5 Super VL 120B A12B: Larger context window: 1,049,000 vs 262,144 tokens.
- Qwen3 8 27B: Available from 11 providers through LiteLLM, vs 3.

## FAQ

### Which is cheaper, Nvidia Nemotron 3.5 Super VL 120B A12B or Qwen3 8 27B?

Nvidia Nemotron 3.5 Super VL 120B A12B is cheaper at 3 input tokens per output token: $0.2375 per 1M tokens blended ($0.15 input, $0.50 output), versus $0.2525 ($0.17 and $0.50) for Qwen3 8 27B, as of November 12, 2026.

### Which has the larger context window, Nvidia Nemotron 3.5 Super VL 120B A12B or Qwen3 8 27B?

Nvidia Nemotron 3.5 Super VL 120B A12B has the larger context window: 1,049,000 tokens, versus 262,144 for Qwen3 8 27B.

### Can I switch from Nvidia Nemotron 3.5 Super VL 120B A12B to Qwen3 8 27B without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B" to "empiriolabs/qwen3-8-27b", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.