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Compare AI models: qiniu/conatus vs MiniMax-M2.7

  1. qiniu/conatusHollow points use fallbacks · hover for details
  2. MiniMax-M2.7MiniMaxHollow 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-M2.750/100 — Reasoning supported; no comparable benchmark76/10056/10050/1000/1000/100
Overview
Author
Context length
Unknown
205K
Reasoning
Unknown
True
Input modalities
Unknown
Text
Output modalities
Unknown
Text
Providers
Pricing
Input
Unknown
$0.30/ 1M
Output
Unknown
$1.20/ 1M
Cached input
Unknown
$0.06/ 1M
MomentumLast 2 mo
Unique users
3
34K
Completed sessions
4
129,252
Token share
0%
0.01%
Tokens
19M+100%
106B-67%
SEP 9NOV 3
SEP 9NOV 3
RetentionWeek 1
Returning users
Pending
57%1.4K user-weeks

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