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Compare AI models: qiniu/conatus vs MiniMax-M2.5

  1. qiniu/conatusHollow points use fallbacks · hover for details
  2. MiniMax-M2.5MiniMaxHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
qiniu/conatus50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder
MiniMax-M2.550/100 — Reasoning supported; no comparable benchmark51/10057/10050/1000/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
Unknown
205K
Reasoning
Unknown
True
Input modalities
Unknown
Text
Output modalities
Unknown
Text
Providers
Pricing
Input
Unknown
$0.27/ 1M
Output
Unknown
$1.08/ 1M
Cached input
Unknown
$0.03/ 1M
MomentumLast 2 mo
Unique users
2
25K
Completed sessions
2
86,508
Token share
0%
0%
Tokens
14M+100%
11B-64%
SEP 6OCT 31
SEP 6OCT 31
RetentionWeek 1
Returning users
Pending
63.1%179 user-weeks

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