GitHub[208K]Try OpenCode

Compare AI models: test-novita-kimi k3 vs Qwen3.7 Max

  1. test-novita-kimi k3MoonshotHollow points use fallbacks · hover for details
  2. Qwen3.7 MaxAlibabaHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
test-novita-kimi k350/100 — 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
Qwen3.7 Max56/10093/10026/10080/1000/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
Unknown
1M
Reasoning
Unknown
True
Input modalities
Unknown
Text
Output modalities
Unknown
Text
Providers
Pricing
Input
Unknown
$2.50/ 1M
Output
Unknown
$7.50/ 1M
Cached input
Unknown
$0.50/ 1M
MomentumLast 2 mo
Unique users
1
73K
Completed sessions
4
84,497
Token share
0%
0.01%
Tokens
24K+100%
79B-80%
AUG 12OCT 6
AUG 12OCT 6
RetentionWeek 1
Returning users
Pending
47.7%2.3K user-weeks

Related comparisons. Other model pairs to check.