GLM-5.3 vs Qwen3.7-Plus
GLM-5.3 leads the LLM Stats Score 53.6 to 42.7. Qwen3.7-Plus is 3.8x cheaper per token.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.3 leads the overall LLM Stats Score 53.6 to 42.7, ranking #9 overall.
In the 2 individual benchmarks reported for both models, GLM-5.3 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.7-Plus is roughly 3.8x 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 53.6 and ranks #9 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3.7-Plus
- cost matters — it's about 3.8x cheaper per token
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 · 70 for Qwen3.7-Plus
GLM-5.3 outperforms in 2 benchmarks (Humanity's Last Exam, NL2Repo), while Qwen3.7-Plus is better at 0 benchmarks.
GLM-5.3 significantly outperforms across most benchmarks.
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 4.4x more expensive than Qwen3.7-Plus ($0.32/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 3.4x more expensive than Qwen3.7-Plus ($1.28/1M tokens).
In conclusion, GLM-5.3 is more expensive than Qwen3.7-Plus.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. GLM-5.3 can generate longer responses up to 131,072 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.7-Plus supports multimodal inputs, whereas GLM-5.3 does not.
Qwen3.7-Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Qwen3.7-Plus
License
Usage and distribution terms
GLM-5.3 is licensed under GLM-5.3 License, while Qwen3.7-Plus uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
GLM-5.3 License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Qwen3.7-Plus was released on 2026-05-31.
GLM-5.3 is 3 months newer than Qwen3.7-Plus.
Aug 14, 2026
3 weeks ago
2mo newerMay 31, 2026
3 months ago
Knowledge 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. Qwen3.7-Plus is available from Together, Fireworks.
GLM-5.3
Qwen3.7-Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Qwen3.7-Plus.