GPT-5.5

Vendor: OpenAI Model ID: gpt-5-5 Capability: 128K context · tool use · vision · streaming · structured output · reasoning_effort Pricing: per-token, flagship tier (live rate) GPT-5.5 is the current OpenAI flagship — the default for any new project on the platform. It’s the model that put native reasoning into the standard chat completions shape: same request body, same response shape, with reasoning_effort as an optional dial. For most production work the default "medium" setting is right; lift to "high" only on hard problems where Sonnet or 5.4-pro have left quality on the table.

Request

curl https://llm.bytespike.ai/v1/chat/completions \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "gpt-5-5",
    "messages": [{"role": "user", "content": "Design a schema for a multi-tenant audit log."}]
  }'

Body parameters

Field	Type	Required	Default	Notes
`model`	string	yes	—	`gpt-5-5`
`messages`	array	yes	—	—
`reasoning_effort`	string	no	`"medium"`	`"low"` / `"medium"` / `"high"`.
`max_tokens`	integer	no	model max	Max: 32768.
`tools`	array	no	—	Parallel function calling.
`response_format`	object	no	—	JSON mode + structured output (recommended for production).
`web_search`	object	no	—	Built-in web search tool — billed per use.
`stream`	boolean	no	false	SSE streaming.

Response

{
  "id": "chatcmpl-…",
  "object": "chat.completion",
  "model": "gpt-5-5",
  "choices": [{"index": 0, "message": {"role": "assistant", "content": "..."}, "finish_reason": "stop"}],
  "usage": {
    "prompt_tokens": 64,
    "completion_tokens": 1842,
    "reasoning_tokens": 2048,
    "total_tokens": 3954
  }
}

reasoning_tokens billed at input-token rate.

Code examples

curl https://llm.bytespike.ai/v1/chat/completions \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model": "gpt-5-5", "messages": [{"role": "user", "content": "Design a schema for a multi-tenant audit log."}]}'

from openai import OpenAI

client = OpenAI(base_url="https://llm.bytespike.ai/v1", api_key="$BYTESPIKE_API_KEY")
resp = client.chat.completions.create(
    model="gpt-5-5",
    messages=[{"role": "user", "content": "Design a schema for a multi-tenant audit log."}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://llm.bytespike.ai/v1",
  apiKey: process.env.BYTESPIKE_API_KEY,
})
const resp = await client.chat.completions.create({
  model: "gpt-5-5",
  messages: [
    { role: "user", content: "Design a schema for a multi-tenant audit log." },
  ],
})
console.log(resp.choices[0].message.content)

Reasoning effort

Setting	Use for
`"low"`	Fast routing / classification with reasoning kept light
`"medium"`	Default — production code gen, content rewriting, agents
`"high"`	Hard problems where you can wait — proofs, deep refactors, plans

Web search

Pass "web_search": {} to give the model a built-in web search tool. The tool is billed per use (see pricing for current rate). Useful for fact-grounded tasks where the model would otherwise hallucinate or cite stale information.

Streaming + caching

"stream": true for SSE. With reasoning enabled, expect a longer TTFB. Automatic prompt caching on stable prefixes — the highest-leverage cost optimisation on this tier.

Errors

Code	Trigger	Billed?
400 / 401 / 402 / 422 / 429	Standard	No
5xx	Upstream	No (auto-retry)

When to use

Default starting point for any new project on OpenAI.
Code generation in an existing codebase, schema / API design.
Multi-step plans, structured output where mid-tier models drift.
For mid-tier cost / latency, see GPT-5.4.

Limits

Limit	Value
Context window	128K tokens
Max output	32768 tokens
Supports tool use	Yes (parallel)
Supports vision	Yes
Supports streaming	Yes
Supports prompt caching	Automatic
Supports reasoning_effort	Yes
Supports web search tool	Yes

API Reference

Protocol endpoints

OpenAI

Anthropic

DeepSeek

Moonshot

Zhipu

MiniMax

Image

Video

Account & billing

Utility

Request

Body parameters

Response

Code examples

Reasoning effort

Web search

Streaming + caching

Errors

When to use

Limits

​Request

​Body parameters

​Response

​Code examples

​Reasoning effort

​Web search

​Streaming + caching

​Errors

​When to use

​Limits

Request

Body parameters

Response

Code examples

Reasoning effort

Web search

Streaming + caching

Errors

When to use

Limits