GLM-5 vs Qwen3.8-Flash-Next
Comparing GLM-5 and Qwen3.8-Flash-Next across benchmarks, pricing, and capabilities.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5 and Qwen3.8-Flash-Next trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5
- you want predictable pricing at $1.00/M input and $3.20/M output
Choose Qwen3.8-Flash-Next
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 and Qwen3.8-Flash-Nextdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
GLM-5 has 619.0B more parameters than Qwen3.8-Flash-Next, making it 495.2% larger.
Context Window
Maximum input and output token capacity
Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.8-Flash-Next supports multimodal inputs, whereas GLM-5 does not.
Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Qwen3.8-Flash-Next
License
Usage and distribution terms
GLM-5 is licensed under MIT, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen Community License 1.0
Open weights
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while Qwen3.8-Flash-Next was released on 2026-08-26.
Qwen3.8-Flash-Next is 7 months newer than GLM-5.
Feb 11, 2026
6 months ago
Aug 26, 2026
0 days ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5 vs Qwen3.8-Flash-Next.