Compare AI models: Qwen3.7 Max vs DeepSeek V4.1 Flash
- Qwen3.7 MaxAlibabaHollow points use fallbacks · hover for details
- DeepSeek V4.1 FlashDeepSeek
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| Qwen3.7 Max | 59/100 | 91/100 | 21/100 | 81/100 | 0/100 | 50/100 — Tool calling supported; no comparable benchmark |
| DeepSeek V4.1 Flash | 100/100 | 100/100 | 61/100 | 81/100 | 33/100 | 92/100 |
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text
Text, Image
Output modalities
Text
Text
Providers
Pricing
Input
$2.50/ 1M
$0.04/ 1M
Output
$7.50/ 1M
$1.20/ 1M
Cached input
$0.50/ 1M
$0.0012/ 1M
MomentumLast 2 mo
Unique users
26K
5.8M
Completed sessions
62,615
161,425,288
Token share
0%
51.2%
Tokens
12B-93%
707T+2,675%
SEP 15NOV 9
SEP 15NOV 9
RetentionWeek 1
Returning users
37.6%484 user-weeks
75.6%637K user-weeks
Related comparisons. Other model pairs to check.
Nearby alternativeQwen3.7 Max vs Dracarys Llama 3.1 70B InstructQwen3.7 Max·Dracarys Llama 3.1 70B InstructNearby alternativeDeepSeek V4.1 Flash vs Dracarys Llama 3.1 70B InstructDeepSeek V4.1 Flash·Dracarys Llama 3.1 70B InstructRelated comparisonQwen3.7 Max vs Jamba MiniQwen3.7 Max·Jamba MiniRelated comparisonDeepSeek V4.1 Flash vs Jamba MiniDeepSeek V4.1 Flash·Jamba Mini