Compare AI models: Qwen3.7 Max vs test-dsf-novita-dedicated-pool
- Qwen3.7 MaxAlibabaHollow points use fallbacks · hover for details
- test-dsf-novita-dedicated-poolDeepSeekHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| Qwen3.7 Max | 59/100 | 91/100 | 20/100 | 81/100 | 0/100 | 50/100 — Tool calling supported; no comparable benchmark |
| test-dsf-novita-dedicated-pool | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder |
Overview
Author
Context length
1M
Unknown
Reasoning
True
Unknown
Input modalities
Text
Unknown
Output modalities
Text
Unknown
Providers
Pricing
Input
$2.50/ 1M
Unknown
Output
$7.50/ 1M
Unknown
Cached input
$0.50/ 1M
Unknown
MomentumLast 2 mo
Unique users
34K
1
Completed sessions
81,337
19
Token share
0%
0%
Tokens
21B-91%
427K+100%
SEP 6OCT 31
SEP 6OCT 31
RetentionWeek 1
Returning users
46.6%986 user-weeks
Pending
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