MiMo-V2.5 vs Qwen3.8 Flash
Compare MiMo-V2.5 and Qwen3.8 Flash 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
AuthorQwen
Context Length1M
Supports Tools
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Activity
Last 14 daysPrompt
895MCompletion
12MTotal
906MStartup
Startup
Latency (p50)0.92s
Throughput (p50)57.5 tok/s
Pricing
Input$0.07/M tokens
Output$0.23/M tokens
Cached input$0.008/M tokens
Features
Input Modalitiestext, image
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools