Loading...
Loading...
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
133rd de 444
Top 30%
Índice de Código
17.9
165th de 354
Top 47%
Preço/1M
$1.93
541st mais barato
542% acima da mediana
Top 80%
Velocidade
138 tok/s
Top 16%
TTFT
6.94s
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 20% dos modelos. Preço mediano é $0.30/1M tokens.
Diário
$1.93
Mensal
$57.75
138
tokens/seg
Mais rápido que 84% dos modelos
6.94
segundos
Mais rápido que 9% dos modelos
6.94
segundos
Mais rápido que 25% dos modelos
Mediana do Mercado
45 tok/s
203% mais rápido
TTFT Mediano
0.42s
1560% mais lento
Vazão/Dólar
71
tok/s por $/1M
Comparação de Velocidade
Janela de Contexto
200K
tokens
Maior que 63% dos modelos
Saída Máxima
100K
tokens
50% do contexto