anthropic
GPT-5.5 vs Claude Opus 5
80.1 overall · $10.00 / 1M
// openai
GPT-5.5
openai/gpt-5.5
reasoningtool callingfile inputimage inputprompt caching
GPT-5.5 costs $5.00 per 1M input tokens and $30.00 per 1M output tokens with a 1.1M-token context window.
A reasoning, tool-calling model from openai, released Apr 24, 2026. On LiveBench it scores 80.2 overall — #8 of 55 benchmarked models — and ranks highest in data analysis (#2).
- Input / 1M
- $5.00
- Output / 1M
- $30.00
- Context
- 1.1M
- LiveBench overall
- 80.2 · #8
Specs and pricing
| Input price USD per 1M prompt tokens | $5.00 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $30.00 |
| Blended price 3:1 input:output — #15 most expensive of 343 listed models | $11.25 |
| Cached input read Blank means not priced separately — not free | $0.500 |
| Cache write | — |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Input modalities | file, image, text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | 2025-12-01 |
| Listed | Apr 24, 2026 |
Also listed as openai/gpt-5.5:batch ($5.63 blended)— the same model at a different price or rate limit.
Benchmarks by category
LiveBench scores out of 100, with GPT-5.5's rank among the 55 benchmarked models listed here. Run: gpt-5.5-xhigh.
Language#7 of 55
87.4
$0.1087 measured per point
What GPT-5.5 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $3,276/mo |
| RAG assistant 8K in / 600 out × 100K requests | $4,000/mo |
| Coding agent 40K in / 4K out × 20K requests | $3,880/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $7,025/mo |
| Bulk classification 500 in / 20 out × 5M requests | $13,250/mo |
Compare GPT-5.5 with
The benchmarked models closest to it on overall score.
GPT-5.5 FAQ
How much does GPT-5.5 cost?
GPT-5.5 lists at $5.00 per 1M input tokens and $30.00 per 1M output tokens, with cached input reads at $0.500 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $4,000 at list price.
What is the context window of GPT-5.5?
GPT-5.5 accepts up to 1,050,000 tokens of context and can return up to 128,000 output tokens per response.
Does GPT-5.5 support tool calling?
Yes — GPT-5.5 supports tool (function) calling and exposes extended reasoning. It accepts file, image, text input.
How does GPT-5.5 score on benchmarks?
On LiveBench release 2026-06-25 (run: gpt-5.5-xhigh), GPT-5.5 scores 80.2 overall, ranking #8 of 55 benchmarked models.
What is the API model ID for GPT-5.5?
On OpenRouter the model ID is "openai/gpt-5.5". It was listed on Apr 24, 2026.
More from openai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.