OpenAI
GPT-6.1 Sol
gpt-6.1-sol
Total Context
1.1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
GPT-5.5
gpt-5.5GPT-5.5 is described by OpenAI as a smarter frontier model for coding, research, data analysis, and professional knowledge work. The official launch messaging emphasizes higher capability, better speed than previous difficult-work models, and strong performance on tasks involving documents and structured analysis. Its description should focus on broad professional intelligence rather than a single niche.
Context Window
1.1M tokens
Maximum Output
128K tokens
Release Date
Apr 23, 2026
Modalities
GPT-5.5 Pricing
| Token Tier | Input Price | Output Price | Cache Read |
|---|---|---|---|
| <=272K | $5/M | $30/M | $0.5/M |
| >272K | $10/M | $45/M | $1/M |
GPT-5.5 API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
2025-12-01
Endpoint Protocols
Completions API
GPT-5.5 Model Highlights
GPT-5.5 combines efficient reasoning, precise task execution and large-context visual understanding for complex coding and professional work.
Efficient Reasoning
Reaches strong results with fewer reasoning tokens than earlier models at comparable effort, benefiting long and multi-step workflows.
Precise Task Execution
Preserves goals and constraints across complex work, translating product intent into concrete, verifiable outcomes.
Long-Context Vision
Processes text and image inputs within a 1,050,000-token context, preserving fine visual detail for document and interface analysis.
GPT-5.5 Use Cases
GPT-5.5 supports complex software engineering, tool-heavy Agent workflows and grounded assistants working across large information sets.
Complex Software Engineering
Navigates codebases, plans coordinated changes, implements features and verifies the result with available development tools.
Tool-Heavy Agent Workflows
Selects and coordinates tools across multi-step service tasks, preserving constraints until the requested outcome is delivered.
Grounded Knowledge Assistants
Retrieves relevant material from large document sets, connects supporting evidence and prepares accurate user-facing answers.
How to Use GPT-5.5 via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)GPT-5.5 Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 54.8 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 59.1 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 93.5% |
| HLE | Broad expert-level exam set | 44.3% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 56.1% |
| Terminal-Bench Hard | Hard terminal task execution | 60.6% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 75.9% |
| AA-LCR | Long-context reasoning | 74.3% |
| τ²-Bench | Agent workflow tasks | 93.9% |
Metrics sourced from Artificial Analysis
GPT-5.5 Comparisons
GPT-5.5 FAQ
GPT-5.5: capabilities, use cases, limits, and TokenHub guidance.
How should teams view GPT-5.5?+
GPT-5.5 is a OpenAI model for frontier coding, reasoning, and professional workflows.
What is GPT-5.5 best for?+
Best for complex coding, tool-heavy automation and customer-facing workflows, especially when professional output quality is the priority.
What is GPT-5.5's main strength?+
Key strength: strong coding, professional reasoning, and reliable tool use.
Is GPT-5.5 always the best choice?+
It uses more compute, so latency and cost can be higher. For throughput, consider GPT-5.4 Mini.
What is the safest setup?+
Use the exact ID shown by TokenHub; follow your account docs and verify current features.
Ready to use GPT-5.5?
Use one API key to access GPT-5.5 and more AI models through TokenHub.
Media and Discussions
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