GPT-5.4 mini

Vendor: OpenAI Model ID: gpt-5-4-mini Capability: 128K context · tool use · vision · streaming · structured output Pricing: per-token, mini tier (live rate) GPT-5.4-mini brings GPT-5.4’s tighter structured output and tool-call argument generation to mini-tier pricing. Right default for production extraction and agent loops where you want 5.4’s quality bump without the standard-tier cost.

Request

curl https://llm.bytespike.ai/v1/chat/completions \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "gpt-5-4-mini",
    "messages": [{"role": "user", "content": "Extract the dollar amounts from this invoice."}],
    "response_format": {"type": "json_object"}
  }'

Body parameters

Field	Type	Required	Default	Notes
`model`	string	yes	—	`gpt-5-4-mini`
`messages`	array	yes	—	—
`max_tokens`	integer	no	model max	Max: 16384.
`tools`	array	no	—	Parallel function calling.
`response_format`	object	no	—	JSON / structured output.
`stream`	boolean	no	false	SSE streaming.

Response

{
  "id": "chatcmpl-…",
  "object": "chat.completion",
  "model": "gpt-5-4-mini",
  "choices": [{"index": 0, "message": {"role": "assistant", "content": "{\"amounts\": [142.50, 89.00]}"}, "finish_reason": "stop"}],
  "usage": {"prompt_tokens": 87, "completion_tokens": 24, "total_tokens": 111}
}

Code examples

curl https://llm.bytespike.ai/v1/chat/completions \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model": "gpt-5-4-mini", "messages": [{"role": "user", "content": "Extract amounts as JSON."}], "response_format": {"type": "json_object"}}'

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-5-4-mini",
    messages=[{"role": "user", "content": "Extract amounts as JSON."}],
    response_format={"type": "json_object"},
)
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-5-4-mini",
  messages: [{ role: "user", content: "Extract amounts as JSON." }],
  response_format: { type: "json_object" },
})
console.log(resp.choices[0].message.content)

Streaming + caching

"stream": true for SSE. Automatic prompt caching.

Errors

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

When to use

Production extraction and structured output where 5-mini’s quality plateaus.
Tool-using agent steps where argument tightness matters.
For more capability, see GPT-5.4 or GPT-5.5.

Limits

Limit	Value
Context window	128K tokens
Max output	16384 tokens
Supports tool use	Yes (parallel)
Supports vision	Yes
Supports streaming	Yes
Supports prompt caching	Automatic

API Reference

Protocol endpoints

OpenAI

Anthropic

DeepSeek

Moonshot

Zhipu

MiniMax

Image

Video

Account & billing

Utility

Request

Body parameters

Response

Code examples

Streaming + caching

Errors

When to use

Limits

​Request

​Body parameters

​Response

​Code examples

​Streaming + caching

​Errors

​When to use

​Limits

Request

Body parameters

Response

Code examples

Streaming + caching

Errors

When to use

Limits