o3 (batch)

OpenAI chatreasoningtool_usevision Long

API ID: openai/o3-2025-04-16

Input Price
$1.00
/1M tokens
Output Price
$4.00
/1M tokens
Cached Input
$0.25
Save 75%

About o3 (batch)

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

๐Ÿ’ฐ
Price Ranking
#1057 lowest price among 1240 Chat models

Model Specifications

Context Length
200k
Max Output
100k
Release Date
2025-04-16
Capabilities
chat reasoning tool_use vision
Input Modalities
imagetextfile
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$1.65
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$51.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$70.50
/month
500 analyses/day, ~2k tokens each

OpenAI Model Lineup

Compare all models from OpenAI to find the best fit

Model Input Output Context Capabilities
o3 (batch) Current Free Free 200k chat reasoning tool_use vision
GPT-3.5 Turbo 16k (older v1106) Free Free 16k chat
GPT-3.5 Turbo 16k (older v1106) Free Free 16k chat
GPT-4 32k Free Free 33k chat
GPT-4 32k Free Free 33k chat
GPT-4 32k (older v0314) Free Free 33k chat

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Thinkingmachines Inkling
Input: $1.00
Output: $4.05
Context: 1.0M
Moonshot AI Kimi K2.6
Input: $0.95
Output: $4.00
Context: 262k
Alibaba Qwen Qwen3 VL 235B A22B Thinking
Input: $0.98
Output: $3.95
Context: 131k
Alibaba Qwen Qwen-Max
Input: $1.04
Output: $4.16
Context: 33k

๐Ÿš€ Quick Start

Get started with o3 (batch) API

OpenAI Python SDK
from openai import OpenAI
client = OpenAI()

response = client.chat.completions.create(
    model="openai/o3-2025-04-16",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)