Compare MiniMax M3 from MiniMax, Qwen3.7 Max from Qwen, Kimi K2.7 Code from moonshotai, and DeepSeek V4 Pro 0423 from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access all 4 models and hundreds of others through the OpenRouter API.






MiniMax M3, Qwen3.7 Max, Kimi K2.7 Code, and DeepSeek V4 Pro 0423 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
MiniMax M3, from MiniMax, has a 1,048,576-token context window and is priced at $0.23/M tokens input, $0.96/M tokens output on OpenRouter.
Qwen3.7 Max, from Qwen, has a 1,000,000-token context window and is priced at $1.475/M tokens input, $4.425/M tokens output on OpenRouter.
Kimi K2.7 Code, from moonshotai, has a 262,144-token context window and is priced at $0.68/M tokens input, $3.40/M tokens output on OpenRouter.
DeepSeek V4 Pro 0423, from DeepSeek, has a 1,048,576-token context window and is priced at $0.9396/M tokens input, $1.879/M tokens output on OpenRouter.