CompareAI models
- Qwen3.8 2.4T A95BAlibaba
- GLM-5.1Zhipu
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 |
| GLM-5.1 | 100/100 | 85/100 | 34/100 | 44/100 | 0/100 | 56/100 |
Overview
Author
Context length
262K
200K
Reasoning
True
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
$2.00/ 1M
$1.40/ 1M
Output
$6.00/ 1M
$4.40/ 1M
Cached input
$0.20/ 1M
$0.26/ 1M
MomentumLast 2 mo
Unique users
No usage
154K
Completed sessions
No usage
119,761
Token share
No usage
0.14%
Tokens
No usage
393B-81%
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 alternativeGLM-5.1 vs Gemma-SEA-LION-v4-27B-ITGLM-5.1·Gemma-SEA-LION-v4-27B-ITRelated comparisonQwen3.8 2.4T A95B vs Qwen3.8 27BQwen3.8 2.4T A95B·Qwen3.8 27BRelated comparisonGLM-5.1 vs Qwen3.8 27BGLM-5.1·Qwen3.8 27B