LIVE
DEEPSEEK-V4-FL$0.20 26.3%
DEEPSEEK-V4-PR$0.87 4.6%
QWEN3.6-FLASH$1.13 24.9%
NEMOTRON-3-SUP$0.45 23.9%
LLAMA-4-MAVERI$0.60 11.9%
LLAMA-4-SCOUT$0.30 5.8%
GEMINI-3.1-FLA$1.50 10.0%
GEMINI-2.5-FLA$0.40 0.8%
MINIMAX-01$1.10 8.0%
MIMO-V2.5$0.28 5.8%
MIMO-V2.5-PRO$0.87 2.6%
MINIMAX-M3$1.20 6.1%
QWEN3.5-PLUS-2$1.80 6.0%
NOVA-2-LITE-V1$2.50 31.4%
GEMINI-2.5-FLA$2.50 9.5%
GROK-4.3$2.50 8.7%
QWEN3.6-PLUS$1.95 31.6%
NEMOTRON-3-ULT$2.50 25.9%
QWEN3.7-PLUS$1.60 21.4%
MINIMAX-M1$2.20 11.9%
PALMYRA-X5$6.00 26.9%
QWEN3.7-MAX$3.75 3.1%
GEMINI-3.5-FLA$9.00 8.3%
GEMINI-2.5-PRO$10.00 7.2%
GPT-5.4-NANO$1.25 10.0%
NOVA-LITE-V1$0.24 28.9%
KIMI-K2.5$1.90 9.8%
MINISTRAL-14B-$0.20 17.7%
DEEPSEEK-V4-FL$0.20 26.3%
DEEPSEEK-V4-PR$0.87 4.6%
QWEN3.6-FLASH$1.13 24.9%
NEMOTRON-3-SUP$0.45 23.9%
LLAMA-4-MAVERI$0.60 11.9%
LLAMA-4-SCOUT$0.30 5.8%
GEMINI-3.1-FLA$1.50 10.0%
GEMINI-2.5-FLA$0.40 0.8%
MINIMAX-01$1.10 8.0%
MIMO-V2.5$0.28 5.8%
MIMO-V2.5-PRO$0.87 2.6%
MINIMAX-M3$1.20 6.1%
QWEN3.5-PLUS-2$1.80 6.0%
NOVA-2-LITE-V1$2.50 31.4%
GEMINI-2.5-FLA$2.50 9.5%
GROK-4.3$2.50 8.7%
QWEN3.6-PLUS$1.95 31.6%
NEMOTRON-3-ULT$2.50 25.9%
QWEN3.7-PLUS$1.60 21.4%
MINIMAX-M1$2.20 11.9%
PALMYRA-X5$6.00 26.9%
QWEN3.7-MAX$3.75 3.1%
GEMINI-3.5-FLA$9.00 8.3%
GEMINI-2.5-PRO$10.00 7.2%
GPT-5.4-NANO$1.25 10.0%
NOVA-LITE-V1$0.24 28.9%
KIMI-K2.5$1.90 9.8%
MINISTRAL-14B-$0.20 17.7%

MiniMax M2.7 vs Llama 3.3 Nemotron Super 49B V1.5

Input price
$0.28
$0.10
Output price
$1.20
$0.40
Context window
205K
131K
Throughput
168 tok/s
123 tok/s
Availability
100.0%
100.0%
Cost / task
$0.001
$0.000
Efficiency score
89
89

Estimated monthly cost by workload

Metric
MINIMAX-M2.7
LLAMA-3.3-NEMO
Chat assistant
$228.00
$78.00
RAG / long context
$444.00
$156.00
Agent / tool use
$633.60
$216.00

Efficiency score: Llama 3.3 Nemotron Super 49B V1.5

Across price, speed and reliability, Llama 3.3 Nemotron Super 49B V1.5 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 MiniMax M2.7 or Llama 3.3 Nemotron Super 49B V1.5 cheaper?+

Llama 3.3 Nemotron Super 49B V1.5 has the lower input price — $0.10 vs $0.28 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, MiniMax M2.7 or Llama 3.3 Nemotron Super 49B V1.5?+

Across price, speed and reliability, Llama 3.3 Nemotron Super 49B V1.5 offers the stronger overall balance for most workloads — but the right pick depends on your exact mix of input, output and latency needs.