# GPT-6 Luna vs Nemotron 3.5 Super VL

As of November 12, 2026, GPT-6 Luna costs 23% more per input token than Nemotron 3.5 Super VL ($0.10 vs $0.081 per 1M) and has a 922K-token context window versus 1M.

- Page: https://models.litellm.ai/compare/gpt-6-luna-vs-nemotron-3.5-super-vl
- GPT-6 Luna: https://models.litellm.ai/models/gpt-6-luna
- Nemotron 3.5 Super VL: https://models.litellm.ai/models/nemotron-3.5-super-vl

## Side by side

| | GPT-6 Luna | Nemotron 3.5 Super VL |
|---|---|---|
| Input, per 1M tokens | $0.10 | $0.081 |
| Output, per 1M tokens | $0.50 | $0.4725 |
| Cache read, per 1M tokens | $0.01 | $0.0135 |
| Cache write, per 1M tokens | $0.125 | – |
| Context window | 922,000 tokens | 1,048,576 tokens |
| Max output | 128,000 tokens | 235,929 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 13 | 2 |
| Price shown is from | OpenAI | Kyma API |
| Added to LiteLLM | September 22, 2026 | October 30, 2026 |

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

## Cheapest provider for each

- GPT-6 Luna: OpenAI at $0.10 input per 1M tokens (`gpt-6-luna`)
- Nemotron 3.5 Super VL: Kyma API at $0.081 input per 1M tokens (`kyma/nemotron-3.5-super-vl`)

## When to pick which

- GPT-6 Luna: Supports PDF input, which Nemotron 3.5 Super VL doesn't list.
- GPT-6 Luna: Available from 13 providers through LiteLLM, vs 2.
- Nemotron 3.5 Super VL: Costs 19% less per input token: $0.081 vs $0.10 per 1M.
- Nemotron 3.5 Super VL: Larger context window: 1,048,576 vs 922,000 tokens.

## FAQ

### Which is cheaper, GPT-6 Luna or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL is cheaper at 3 input tokens per output token: $0.1789 per 1M tokens blended ($0.081 input, $0.4725 output), versus $0.20 ($0.10 and $0.50) for GPT-6 Luna, as of November 12, 2026.

### Which has the larger context window, GPT-6 Luna or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL has the larger context window: 1,048,576 tokens, versus 922,000 for GPT-6 Luna.

### Can I switch from GPT-6 Luna to Nemotron 3.5 Super VL without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-6-luna" to "kyma/nemotron-3.5-super-vl", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.