GitHub[220K]Try OpenCode

Compare AI models: Qwen3.7 Max vs MiMo-V2.5-Pro

  1. Qwen3.7 MaxAlibabaHollow points use fallbacks · hover for details
  2. MiMo-V2.5-ProXiaomiHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
Qwen3.7 Max59/10091/10032/10081/1000/10050/100 — Tool calling supported; no comparable benchmark
MiMo-V2.5-Pro14/10071/10058/10092/1000/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
$1.25/ 1M
$0.43/ 1M
Output
$3.75/ 1M
$0.87/ 1M
Cached input
$0.25/ 1M
$0.0036/ 1M
MomentumLast 2 mo
Unique users
37K
79K
Completed sessions
86,595
352,902
Token share
0%
0.06%
Tokens
26B-91%
698B-67%
SEP 2OCT 27
SEP 2OCT 27
RetentionWeek 1
Returning users
46.6%986 user-weeks
59.6%3.6K user-weeks

Related comparisons. Other model pairs to check.