# GPT-5.6 Luna vs Nvidia Nemotron 3.5 Super VL 120B A12B

As of November 12, 2026, GPT-5.6 Luna costs 33% more per input token than Nvidia Nemotron 3.5 Super VL 120B A12B ($0.20 vs $0.15 per 1M) and has a 922K-token context window versus 1M.

- Page: https://models.litellm.ai/compare/gpt-5.6-luna-vs-nvidia-nemotron-3.5-super-vl-120b-a12b
- GPT-5.6 Luna: https://models.litellm.ai/models/gpt-5.6-luna
- Nvidia Nemotron 3.5 Super VL 120B A12B: https://models.litellm.ai/models/nvidia-nemotron-3.5-super-vl-120b-a12b

## Side by side

| | GPT-5.6 Luna | Nvidia Nemotron 3.5 Super VL 120B A12B |
|---|---|---|
| Input, per 1M tokens | $0.20 | $0.15 |
| Output, per 1M tokens | $1.20 | $0.50 |
| Cache read, per 1M tokens | $0.02 | $0.02 |
| Cache write, per 1M tokens | $0.25 | – |
| Context window | 922,000 tokens | 1,049,000 tokens |
| Max output | 128,000 tokens | 943,718 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 14 | 3 |
| Price shown is from | OpenAI | Weights & Biases |
| Added to LiteLLM | July 9, 2026 | October 16, 2026 |

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

## Cheapest provider for each

- GPT-5.6 Luna: Databricks at $0.20 input per 1M tokens (`databricks/databricks-gpt-5-6-luna`)
- 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`)

## When to pick which

- GPT-5.6 Luna: Available from 14 providers through LiteLLM, vs 3.
- Nvidia Nemotron 3.5 Super VL 120B A12B: Costs 25% less per input token: $0.15 vs $0.20 per 1M.
- Nvidia Nemotron 3.5 Super VL 120B A12B: Larger context window: 1,049,000 vs 922,000 tokens.

## FAQ

### Which is cheaper, GPT-5.6 Luna or Nvidia Nemotron 3.5 Super VL 120B A12B?

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 $0.45 ($0.20 and $1.20) for GPT-5.6 Luna, as of November 12, 2026.

### Which has the larger context window, GPT-5.6 Luna or Nvidia Nemotron 3.5 Super VL 120B A12B?

Nvidia Nemotron 3.5 Super VL 120B A12B has the larger context window: 1,049,000 tokens, versus 922,000 for GPT-5.6 Luna.

### Can I switch from GPT-5.6 Luna to Nvidia Nemotron 3.5 Super VL 120B A12B without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-5.6-luna" to "wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.