GPT-5.5 vs GPT-5.6
As of November 10, 2026, GPT-5.5 costs 25% more per input token than GPT-5.6 ($5.00 vs $4.00 per 1M) and has a 1M-token context window versus 922K.
GPT-5.5 vs GPT-5.6 side by side
| GPT-5.5 | GPT-5.6 | |
|---|---|---|
| Input, per 1M tokens | $5.00 | $4.00 |
| Output, per 1M tokens | $30.00 | $20.00 |
| Cache read, per 1M tokens | $0.50 | $0.40 |
| Cache write, per 1M tokens | – | $5.00 |
| Context window | 1,050,000 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 | 11 | 2 |
| Price shown is from | OpenAI | OpenAI |
| Added to LiteLLM | April 2026 | July 9, 2026 |
Cheapest provider for each
When to pick which
Pick GPT-5.5 for
- Larger context window: 1,050,000 vs 922,000 tokens.
- Available from 11 providers through LiteLLM, vs 2.
Pick GPT-5.6 for
- Costs 20% less per input token: $4.00 vs $5.00 per 1M.
From differences in the data above only; where the data is equal, no reason is given.
Call GPT-5.5 or GPT-5.6 with LiteLLM
Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.
from litellm import completion
messages = [{"role": "user", "content": "Hello!"}]
# GPT-5.5
response = completion(model="gpt-5.5", messages=messages)
# GPT-5.6
response = completion(model="gpt-5.6", messages=messages)
# GPT-5.5, falling back to GPT-5.6 if the call fails
response = completion(model="gpt-5.5", messages=messages, fallbacks=["gpt-5.6"])FAQ
Which is cheaper, GPT-5.5 or GPT-5.6?
GPT-5.6 is cheaper at 3 input tokens per output token: $8.00 per 1M tokens blended ($4.00 input, $20.00 output), versus $11.25 ($5.00 and $30.00) for GPT-5.5, as of November 10, 2026.
Which has the larger context window, GPT-5.5 or GPT-5.6?
GPT-5.5 has the larger context window: 1,050,000 tokens, versus 922,000 for GPT-5.6.
Can I switch from GPT-5.5 to GPT-5.6 without changing my code?
Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-5.5" to "gpt-5.6", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.