# Claude Opus 5 vs GPT-6 Rosalind

As of November 10, 2026, GPT-6 Rosalind costs 200% more per input token than Claude Opus 5 ($15.00 vs $5.00 per 1M) and has a 922K-token context window versus 1M.

- Page: https://models.litellm.ai/compare/claude-opus-5-vs-gpt-6-rosalind
- Claude Opus 5: https://models.litellm.ai/models/claude-opus-5
- GPT-6 Rosalind: https://models.litellm.ai/models/gpt-6-rosalind

## Side by side

| | Claude Opus 5 | GPT-6 Rosalind |
|---|---|---|
| Input, per 1M tokens | $5.00 | $15.00 |
| Output, per 1M tokens | $25.00 | $75.00 |
| Cache read, per 1M tokens | $0.50 | $1.50 |
| Cache write, per 1M tokens | $6.25 | $18.75 |
| Context window | 1,000,000 tokens | 922,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 10 | 2 |
| Price shown is from | Anthropic | OpenAI |
| Added to LiteLLM | July 24, 2026 | October 30, 2026 |

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

## Cheapest provider for each

- Claude Opus 5: Anthropic at $5.00 input per 1M tokens (`claude-opus-5`)
- GPT-6 Rosalind: OpenAI at $15.00 input per 1M tokens (`gpt-6-rosalind`)

## When to pick which

- Claude Opus 5: Costs 67% less per input token: $5.00 vs $15.00 per 1M.
- Claude Opus 5: Available from 10 providers through LiteLLM, vs 2.

## FAQ

### Which is cheaper, Claude Opus 5 or GPT-6 Rosalind?

Claude Opus 5 is cheaper at 3 input tokens per output token: $10.00 per 1M tokens blended ($5.00 input, $25.00 output), versus $30.00 ($15.00 and $75.00) for GPT-6 Rosalind, as of November 10, 2026.

### Which has the larger context window, Claude Opus 5 or GPT-6 Rosalind?

Claude Opus 5 has the larger context window: 1,000,000 tokens, versus 922,000 for GPT-6 Rosalind.

### Can I switch from Claude Opus 5 to GPT-6 Rosalind without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "claude-opus-5" to "gpt-6-rosalind", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.