CompareAI models
- Qwen3.8 2.4T A95BAlibaba
- DeepSeek V4 ProDeepSeek
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| Qwen3.8 2.4T A95B | 100/100 | No data | 31/100 | 64/100 | 0/100 | No data |
| DeepSeek V4 Pro | 100/100 | 87/100 | 37/100 | 83/100 | 0/100 | 44/100 |
Overview
Author
Context length
262K
1M
Reasoning
True
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
$2.00/ 1M
$1.60/ 1M
Output
$6.00/ 1M
$3.20/ 1M
Cached input
$0.20/ 1M
$0.14/ 1M
MomentumLast 2 mo
Unique users
No usage
1.6M
Completed sessions
No usage
3,846,676
Token share
No usage
12.5%
Tokens
No usage
34T+75%
No trend data
JUN 22AUG 16
Related comparisons. Other model pairs to check.
Nearby alternativeQwen3.8 2.4T A95B vs Gemma-SEA-LION-v4-27B-ITQwen3.8 2.4T A95B·Gemma-SEA-LION-v4-27B-ITNearby alternativeDeepSeek V4 Pro vs Gemma-SEA-LION-v4-27B-ITDeepSeek V4 Pro·Gemma-SEA-LION-v4-27B-ITRelated comparisonQwen3.8 2.4T A95B vs Qwen3.8 27BQwen3.8 2.4T A95B·Qwen3.8 27BRelated comparisonDeepSeek V4 Pro vs Qwen3.8 27BDeepSeek V4 Pro·Qwen3.8 27B