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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.
Índice de Qualidade
25.9
132nd de 442
Top 30%
Índice de Código
17.9
164th de 352
Top 47%
Preço/1M
$1.93
537th mais barato
521% acima da mediana
Top 79%
Velocidade
155 tok/s
Top 12%
TTFT
6.72s
Janela de Contexto
200K
108th maior
Top 37%
Entrada
$1.10
por 1M tokens
Saída
$4.40
por 1M tokens
Combinado
$1.93
por 1M tokens
Mais barato que 21% dos modelos. Preço mediano é $0.31/1M tokens.
Diário
$1.93
Mensal
$57.75
155
tokens/seg
Mais rápido que 88% dos modelos
6.72
segundos
Mais rápido que 8% dos modelos
6.72
segundos
Mais rápido que 24% dos modelos
Mediana do Mercado
46 tok/s
240% mais rápido
TTFT Mediano
0.42s
1507% mais lento
Vazão/Dólar
80
tok/s por $/1M
Comparação de Velocidade
Janela de Contexto
200K
tokens
Maior que 63% dos modelos
Saída Máxima
100K
tokens
50% do contexto