GPT-4o on Run BiOS

gpt-4o

+50%First top-up bonus

Top up $20 and we add 50%. That gives you about 4.0M input tokens extra on GPT-4o, on us.

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125K contextVisionTool callingPrompt caching

Pricing

USD per 1M tokens

Input	$2.50
Output	$10.00
Cached input	$1.2550% below fresh input

Billed per token with no minimum and no monthly fee. Price your workload

Capabilities and limits

Context window: 125K tokens
Max output: 16K tokens
Modality: multimodal
Tool calling: Supported
Vision: Supported
Reasoning: Not supported
Prompt caching: Supported (automatic)

Measured performance

Time to first token (p50): 400 ms
Time to first token (p95): 800 ms
Throughput (avg): 150.0 tok/s
Throughput (p50): 150.0 tok/s

Measured on real Run BiOS traffic over the trailing 7d. Your figures will vary with prompt shape and region.

Call it now: OpenAI-compatible

curl https://api.runbios.ai/v1/chat/completions \
  -H "Authorization: Bearer $BIOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Existing OpenAI SDK code works by changing the base URL and the key. API overview

Model card

Curated by Run BiOS · benchmark figures, where present, are the card’s own, not our measurements

GPT-4o ("o" for "omni") is OpenAI's versatile, high-intelligence model. It accepts both text and image inputs, and produces text outputs (including Structured Outputs).

Model details

Property	Value
Developer	OpenAI
Model ID	`gpt-4o`
OpenAI default snapshot	`gpt-4o-2024-08-06`
Input	Text, image
Output	Text
Context window	128,000 tokens
Max output tokens	16,384
Knowledge cutoff	Oct 01, 2023
Reasoning	No (instruction model, no reasoning step)

Details above are from OpenAI's official model page; context window and input types are as served on Run BiOS.

On Run BiOS

No reasoning step. A reasoning_effort setting is accepted and ignored, so requests written for reasoning models still work.
Tool calling. Function tools with tool_choice auto, required, a named function or none, including parallel tool calls.
Structured outputs. response_format with json_schema or json_object.
Image input. Text and image input, text output.
Sampling parameters. temperature, top_p, frequency_penalty, presence_penalty, stop and seed are supported.
Prompt caching. Automatic for repeated prompt prefixes; the minimum cacheable length varies with the request. Cache reads bill at the cached-input rate, and there is no separate charge for cache writes. Send a stable prompt_cache_key to improve cache hits.
Two APIs. Works with the OpenAI Chat Completions API (/v1/chat/completions) and the Anthropic Messages API (/v1/messages).

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