LIVE
BODYBUILDER$-1000000.00 5.4%
GLM-4-LONG$0.00 14.1%
GEMINI-2.0-FLA$0.30 20.0%
GEMINI-2.0-FLA$0.40 6.6%
-CF$0.00 9.7%
DEEPSEEK-V4-FL$0.28 26.3%
LLAMA-4-MAVERI$0.60 11.9%
GROK-4-FAST$0.50 6.0%
QWEN-PLUS$0.78 0.6%
MINIMAX-M2.1$0.95 2.6%
MINIMAX-M2$1.00 2.9%
MINIMAX-01$1.10 8.0%
GPT-4.1-MINI$1.60 13.7%
GROK-4-1-FAST-$0.50 8.9%
GPT-4.1-MINI-2$1.60 31.8%
XAI$0.00 4.5%
MINIMAX-M2.7$0.00 9.9%
QWEN3.5-FLASH-$0.26 31.0%
GPT-4.1-NANO$0.40 13.0%
GEMINI-2.5-FLA$0.40 0.8%
DEEPSEEK-AI$0.00 27.0%
GROK-4.1-FAST$0.50 16.4%
MINIMAX-M3$1.20 6.1%
GOOGLE$1.50 3.4%
AUTO$0.00 9.7%
GOOGLE$0.00 27.8%
MINIMAX-M2.7$1.20 7.2%
GOOGLE$0.00 0.6%
BODYBUILDER$-1000000.00 5.4%
GLM-4-LONG$0.00 14.1%
GEMINI-2.0-FLA$0.30 20.0%
GEMINI-2.0-FLA$0.40 6.6%
-CF$0.00 9.7%
DEEPSEEK-V4-FL$0.28 26.3%
LLAMA-4-MAVERI$0.60 11.9%
GROK-4-FAST$0.50 6.0%
QWEN-PLUS$0.78 0.6%
MINIMAX-M2.1$0.95 2.6%
MINIMAX-M2$1.00 2.9%
MINIMAX-01$1.10 8.0%
GPT-4.1-MINI$1.60 13.7%
GROK-4-1-FAST-$0.50 8.9%
GPT-4.1-MINI-2$1.60 31.8%
XAI$0.00 4.5%
MINIMAX-M2.7$0.00 9.9%
QWEN3.5-FLASH-$0.26 31.0%
GPT-4.1-NANO$0.40 13.0%
GEMINI-2.5-FLA$0.40 0.8%
DEEPSEEK-AI$0.00 27.0%
GROK-4.1-FAST$0.50 16.4%
MINIMAX-M3$1.20 6.1%
GOOGLE$1.50 3.4%
AUTO$0.00 9.7%
GOOGLE$0.00 27.8%
MINIMAX-M2.7$1.20 7.2%
GOOGLE$0.00 0.6%

maestro-reasoning vs deepseek-r1

Input price
$0.90
$0.70
Output price
$3.30
$2.50
Context window
131K
64K
Throughput
141 tok/s
160 tok/s
Availability
96.2%
98.6%
Cost / task
$0.003
$0.003
Efficiency score
88
88

Estimated monthly cost by workload

Metric
MAESTRO-REASON
DEEPSEEK-R1
Chat assistant
$666.00
$510.00
RAG / long context
$1,377
$1,065
Agent / tool use
$1,836
$1,404

Efficiency score: maestro-reasoning

Across price, speed and reliability, maestro-reasoning offers the stronger overall balance for most workloads — but the right pick depends on your exact mix of input, output and latency needs.

Figures are illustrative demo data, not financial advice.

Frequently asked questions

Is maestro-reasoning or deepseek-r1 cheaper?+

deepseek-r1 has the lower input price — $0.70 vs $0.90 per 1M tokens — so for most blended workloads it is the more cost-effective of the two. Figures are illustrative demo data.

Which should I choose, maestro-reasoning or deepseek-r1?+

Across price, speed and reliability, maestro-reasoning offers the stronger overall balance for most workloads — but the right pick depends on your exact mix of input, output and latency needs.