GPT-5.5
gpt-5.5 is available for chat, coding, reasoning, and agent workflows. PoYo meters input at 600 credits per 1M tokens and output at 3600 credits per 1M tokens.Transparent pricing with no hidden fees. Pay as you go.
| Model | Spec | PoYo price | Official price | You save |
|---|---|---|---|---|
Input | $3.00/1M tokens 600 credits /1M tokens | $5.00/1M tokens Official | 40% | |
Output | $18.00/1M tokens 3600 credits /1M tokens | $30.00/1M tokens Official | 40% |
* Actual fees are based on the final output.
Complete guide to using GPT-5.5 API for complex coding and high-value agents
gpt-5.5 is available for chat, coding, reasoning, and agent workflows. PoYo meters input at 600 credits per 1M tokens and output at 3600 credits per 1M tokens.GPT-5.5 should be reserved for the work where extra reasoning depth, long context, and tool execution quality matter more than raw request volume.
01
Use GPT-5.5 as the upgrade route for codebase analysis, architecture review, multi-step planning, and tasks where weaker models usually need retries.

02
The large context and long output budget fit repository-scale prompts, detailed specifications, and multi-file implementation plans without forcing early summarization.

03
GPT-5.5 pairs well with Responses payloads when your application needs reasoning state, structured tool calls, and clearer agent orchestration.

04
Keep routine traffic on cheaper GPT models and route only complex, high-value requests to GPT-5.5 for better cost control.

Ask GPT-5.5 to reason over repository context, migration goals, test failures, and staged implementation plans.
Use Responses workflows for agents that combine search, files, function calls, and structured outputs.
Send legal, financial, product, or technical briefs when answer quality is worth the higher model tier.
Escalate requests from GPT-5.4 or GPT-5.2 when confidence, complexity, or user tier requires a stronger model.
Choose by model generation, context window, latency profile, and token budget. PoYo keeps endpoint and billing workflows consistent across these chat models.
| Feature | GPT-5.5 | GPT-5.4 | GPT-5.2 | Gemini 3.5 Flash |
|---|---|---|---|---|
| Provider | OpenAI | OpenAI | OpenAI | |
| Endpoint support | Chat + Responses | Chat + Responses | Chat + Responses | Chat + Gemini Native |
| Context window | 1M | 1M | 400K | 1M |
| Max output | 128K | 128K | 128K | 64K |
| PoYo input price | $3.00 / 1M | $1.05 / 1M | $0.44 / 1M | $0.90 / 1M |
| PoYo output price | $18.00 / 1M | $8.40 / 1M | $3.50 / 1M | $5.40 / 1M |
| Best fit | Hard coding, planning, tool-heavy agents, and high-value professional reasoning. | Cost-aware GPT agents | Stable previous frontier GPT | Fast multimodal agents |
Model capabilities are summarized from official public documentation checked on May 21, 2026. PoYo prices are credit-based.
Step 1: Create a PoYo API key
Open the dashboard, generate an API key, and add credits for chat usage.
Create API Key
Step 2: Pick Chat Completions or Responses
Use /v1/chat/completions for existing OpenAI-compatible chat apps. Use /v1/responses for reasoning controls, tools, and newer response items.
Step 3: Send a requestcurl --request POST \
--url https://api.poyo.ai/v1/responses \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-5.5",
"input": "Design a test plan for a billing migration.",
"reasoning": {"effort": "medium"}
}'
View chat API docs
| Meter | PoYo credits | USD equivalent |
|---|---|---|
| GPT-5.5 input | 600 credits / 1M tokens | $3.00 / 1M tokens |
| GPT-5.5 output | 3600 credits / 1M tokens | $18.00 / 1M tokens |
PoYo pricing is positioned about 40% cheaper than official pricing. No subscription fees. Use one API key, dashboard usage tracking, and pay-as-you-go credits.
Keep GPT-5.5 for the requests that need the flagship GPT layer instead of paying flagship prices for every message.
Use the same model through /v1/chat/completions or /v1/responses depending on how modern your client is.
PoYo lists GPT-5.5 at 600 input credits and 3600 output credits per 1M tokens, about 40% below official pricing.
Compare prompts in the playground, inspect usage, then move the same model ID into your production client.