GLM-5.3 vs Qwen3.8 Flash
GLM-5.3 leads the LLM Stats Score 53.8 to 49.4. Qwen3.8 Flash is 9.3x cheaper per token.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.3 leads the overall LLM Stats Score 53.8 to 49.4, ranking #8 overall.
In the 5 individual benchmarks reported for both models, GLM-5.3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 9.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3
- overall performance matters — it scores 53.8 and ranks #8 on LLM Stats
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
Choose Qwen3.8 Flash
- cost matters — it's about 9.3x cheaper per token
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for GLM-5.3 · 22 for Qwen3.8 Flash
GLM-5.3 outperforms in 3 benchmarks (DeepSWE 1.1, Humanity's Last Exam, NL2Repo), while Qwen3.8 Flash is better at 2 benchmarks (Agents' Last Exam, Toolathlon).
GLM-5.3 has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.40/1M tokens) is 9.3x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 9.4x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, GLM-5.3 is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3 has 628.0B more parameters than Qwen3.8 Flash, making it 502.4% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Flash supports multimodal inputs, whereas GLM-5.3 does not.
Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Qwen3.8 Flash
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 0 month newer than GLM-5.3.
Aug 14, 2026
2 weeks ago
Aug 26, 2026
1 weeks ago
1w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.3 is available from FriendliAI, Novita, ZAI. Qwen3.8 Flash is available from Novita.
GLM-5.3
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Qwen3.8 Flash.