Compare AI models: Qwen3.7 Max vs deepseek-v4-1-flash-260910
- Qwen3.7 MaxAlibabaHollow points use fallbacks · hover for details
- deepseek-v4-1-flash-260910DeepSeekHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| Qwen3.7 Max | 56/100 | 93/100 | 23/100 | 82/100 | 0/100 | 50/100 — Tool calling supported; no comparable benchmark |
| deepseek-v4-1-flash-260910 | 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
52K
89
Completed sessions
89,464
390
Token share
0.01%
0%
Tokens
56B-84%
69M+100%
AUG 20OCT 14
AUG 20OCT 14
RetentionWeek 1
Returning users
51%1.7K user-weeks
Pending
Related comparisons. Other model pairs to check.
Nearby alternativeQwen3.7 Max vs Jamba MiniQwen3.7 Max·Jamba MiniNearby alternativedeepseek-v4-1-flash-260910 vs Jamba Minideepseek-v4-1-flash-260910·Jamba MiniRelated comparisonQwen3.7 Max vs Jamba LargeQwen3.7 Max·Jamba LargeRelated comparisondeepseek-v4-1-flash-260910 vs Jamba Largedeepseek-v4-1-flash-260910·Jamba Large