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%

magnum-v4-72b vs mixtral-8x22b-instruct

Lower price
mixtral-8x22b-instruct
Faster
mixtral-8x22b-instruct
Higher efficiency
mixtral-8x22b-instruct
Metric
magnum-v4-72bmixtral-8x22b-instruct
Input price
$3.00
$2.00
Output price
$5.00
$6.00
Context window
16K
66K
Throughput
126 tok/s
137 tok/s
Availability
98.5%
100.0%
Cost / task
$0.009
$0.007
Efficiency score
86
86

Estimated monthly cost by workload

Metric
MAGNUM-V4-72B
MIXTRAL-8X22B-
Chat assistant
$1,500
$1,320
RAG / long context
$4,050
$2,940
Agent / tool use
$3,960
$3,600

Efficiency score: mixtral-8x22b-instruct

Across price, speed and reliability, mixtral-8x22b-instruct 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 magnum-v4-72b or mixtral-8x22b-instruct cheaper?+

mixtral-8x22b-instruct has the lower input price — $2.00 vs $3.00 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, magnum-v4-72b or mixtral-8x22b-instruct?+

Across price, speed and reliability, mixtral-8x22b-instruct offers the stronger overall balance for most workloads — but the right pick depends on your exact mix of input, output and latency needs.