MiMo-V2.5 vs GPT 5.6 Luna
Compare MiMo-V2.5 and GPT 5.6 Luna on key metrics including price, context length, throughput, and other model features.
AuthorXiaomi
Context Length1.1M
Supports Tools
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.
Activity
Last 14 daysPrompt
664MCompletion
2MTotal
667MStartup
Startup
Latency (p50)1.79s
Throughput (p50)52.5 tok/s
Pricing
Input$0.07/M tokens
Output$0.14/M tokens
Cached input$0.0014/M tokens
Features
Input Modalitiestext, image, audio
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
AuthorOpenAI
Context Length1.1M
Supports Tools
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for its price tier.
Activity
Last 14 daysPrompt
963MCompletion
3MTotal
966MStartup
Startup
Latency (p50)0.79s
Throughput (p50)52.2 tok/s
Pricing
Input$0.10/M tokens
Output$0.60/M tokens
Cached input$0.01/M tokens
Features
Input Modalitiestext, image, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools