モデル詳細
o3-mini-2025-01-31
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". OpenRouter also offers the model slug `openai/o3-mini-high` to default the parameter to "high". The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities. The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.
モデル仕様
- コンテキスト長
- 200K
- 最大出力
- 100K
- 入出力モダリティ
- テキスト
- リリース
- 2025-01
02
API エンドポイント
MixRoute 単一ゲートウェイ、OpenAI 互換
-
OpenAI-compatible
/v1/chat/completionsPOST
03
料金
固定料金、単位: /1M Tokens
入力
$1.1000 /1M Tokens
生成
$4.4000 /1M Tokens
キャッシュ読み取り
$0.5500 /1M Tokens
05
選定サマリー
ワークロード適合性を素早く判断
What is this model good for?
Cost-efficient STEM reasoning with adjustable effort
Use o3-mini for science, math, and coding tasks where you need strong reasoning at lower cost. It supports adjustable reasoning_effort (low/medium/high) and matches o1 performance on AIME and GPQA at medium effort.
What should you check before using it?
Tune reasoning_effort for your task
Set reasoning_effort to low, medium, or high based on task complexity. Test function calling and structured outputs. Note that o3-mini does not support vision processing.
Why use it through MixRoute?
Use the compatible endpoint with stable model ID
Use the confirmed compatible endpoint with model ID o3-mini through MixRoute, then run the same integration tests used for the current client.
08
トークンコスト見積もり
このページの料金に基づく見積もりで、実請求ではありません
同一プレフィックスが繰り返し読み取られる入力の割合(最大100%)
単一エンドポイントで検証可能な判断
同じリクエスト形式でこのモデルと代替ルートをテスト
実際のワークロードから始め、品質、総コスト、障害条件を基に本番トラフィックを送るか判断します。