CompareAI models
- Qwen3.8 2.4T A95BAlibaba
- GPT-5 NanoOpenAI
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| Qwen3.8 2.4T A95B | 100/100 | No data | 30/100 | 65/100 | 0/100 | No data |
| GPT-5 Nano | 100/100 | No data | 80/100 | 73/100 | 33/100 | No data |
Overview
Author
Context length
262K
400K
Reasoning
True
True
Input modalities
Text
Text, Image
Output modalities
Text
Text
Providers
Pricing
Input
$2.00/ 1M
$0.05/ 1M
Output
$6.00/ 1M
$0.40/ 1M
Cached input
$0.20/ 1M
$0.005/ 1M
MomentumLast 2 mo
Unique users
No usage
4K
Completed sessions
No usage
7,326
Token share
No usage
0%
Tokens
No usage
1.3B-99%
No trend data
JUN 26AUG 20
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 alternativeGPT-5 Nano vs Gemma-SEA-LION-v4-27B-ITGPT-5 Nano·Gemma-SEA-LION-v4-27B-ITRelated comparisonQwen3.8 2.4T A95B vs Qwen3.8 27BQwen3.8 2.4T A95B·Qwen3.8 27BRelated comparisonGPT-5 Nano vs Qwen3.8 27BGPT-5 Nano·Qwen3.8 27B