1M context window
Fit full codebases, long policies, or large research corpora in a single request.
GPT-5.5
Try itGPT-5.5
GPT-5.5: advanced reasoning, 1M context, and Tool Search
Built for demanding reasoning and production agents: process full repos or long documents in one request, tune effort from none to xhigh, and use the same LimaxAI workspace as Claude, Gemini, and other frontier models.
- 1M context
- 128K max output
- Advanced reasoning
- Tool Search
- Adjustable reasoning
> tool_search("internal_api.list")
// advanced reasoning · multi-step plan
> context: 1M tokens · output budget: 128K
// reasoning: xhigh · tools: 38 matched
Capabilities
Key capabilities
Highlights from public GPT-5.5 materials; exact toggles depend on what LimaxAI exposes in chat.
128K max output
Generate full reports, long implementations, or large structured outputs in one pass.
Advanced reasoning
Multi-step problem solving, research workflows, and decision-support agents with deeper reasoning when needed.
Tool Search
Discover and invoke the right tool on demand instead of stuffing every tool definition into each prompt.
Adjustable reasoning
Pick reasoning effort from none through xhigh to balance latency, depth, and cost.
Higher token efficiency
Designed for workloads where reasoning depth and long context both matter, with less wasted token overhead.
Comparison
How GPT-5.5 compares (qualitative)
A quick decision table; billing and availability follow LimaxAI pricing and the model list.
Claude Opus 4.7 and Gemini 3.1 Pro are common public benchmarks; limits change with each release.
| Dimension | GPT-5.5 | Claude Opus 4.7 | Gemini 3.1 Pro |
|---|---|---|---|
| Context window | 1M | 200K (1M beta) | 1M |
| Max output | 128K | 128K | 64K |
| Native Computer Use | Yes | No | No |
| Tool Search | Yes | No | No |
| Reasoning controls | none to xhigh | standard / extended | Limited public controls |
Use cases
What you can build
Typical workflows aligned with public GPT-5.5 positioning.
Complex multi-step reasoning
Research workflows, strategy analysis, and decision-support agents—test and iterate in LimaxAI without a separate vendor console.
Full-repo analysis at 1M context
Architecture reviews, dependency audits, and long-document synthesis inside one wide context window.
Tool Search for enterprise stacks
Orchestrate many internal APIs, tools, or MCP connectors without bloating every prompt with tool schemas.
GPT family
GPT-5.5 vs GPT-5.4 (qualitative)
Within the GPT family: 5.5 emphasizes advanced reasoning and 1M context; 5.4 is stronger on Computer Use and public agent benchmarks.
| Dimension | GPT-5.5 | GPT-5.4 |
|---|---|---|
| Context window | 1M | ~1.05M |
| Primary focus | Advanced reasoning, long-context analysis | Native Computer Use, public benchmark story |
| Tool Search | Yes | Yes |
| Reasoning controls | none to xhigh | none to xhigh |
| When to pick | Try the newest reasoning stack first | Try agent / desktop automation first |
Why LimaxAI
Why use it on LimaxAI
Same chat experience as other frontier models—no separate console per vendor.
One chat workspace
Switch between GPT-5.5, GPT-5.4, Claude, Gemini, and more from the model list.
Unified credits
Bill against LimaxAI points rules so teams can compare models on real tasks.
Streaming UX
Use the same streaming chat pipeline as other models for long replies and iteration.
Get started
Get started in three steps
From sign-in to production iteration.
Sign in to LimaxAI
Open Chat and pick GPT-5.5 (or the closest titled entry) from the model dropdown.
Send your first prompt
Describe a complex task or attach code/docs; raise reasoning effort when the UI offers it.
Iterate and scale
Watch usage on the pricing page, then promote the workflow to teammates or agents.
FAQ
FAQ
How do I select GPT-5.5 in LimaxAI?
Open Chat and choose the GPT-5.5 entry from the model list. Names and visibility come from backend configuration and may change.
How is GPT-5.5 different from GPT-5.4?
Public materials position GPT-5.5 for demanding reasoning with 1M context and 128K output. GPT-5.4 remains strong for Computer Use and mature agent narratives—pick based on your workload.
How large is the context window?
Public specs cite 1M input tokens and 128K max output. Gateway limits, attachments, moderation, or rate limits may still apply.
What is Tool Search?
It selects tools from a larger catalog on demand instead of embedding every tool definition in each prompt—better agent quality, fewer wasted tokens.
Is long context billed differently?
Some API providers tier pricing above ~272K tokens. For LimaxAI chat, always follow the pricing page and your usage history.
How are chat credits billed?
Follow LimaxAI points rules for the selected chat model; see the pricing page and your usage history.
Try GPT-5.5 in chat
Run a real task on GPT-5.5
Open Chat, pick GPT-5.5, and start with complex reasoning, long docs, or a Tool Search draft.