GLM-5.3 vs Seed 2.1 Turbo
GLM-5.3 leads the LLM Stats Score 54.2 to 44.0.
Zhipu AI · ByteDance · Updated for 2026
Which is better?
GLM-5.3 leads the overall LLM Stats Score 54.2 to 44.0, ranking #6 overall.
In the 7 individual benchmarks reported for both models, GLM-5.3 wins 6; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3
- overall performance matters — it scores 54.2 and ranks #6 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 7 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Seed 2.1 Turbo
- you are already invested in the ByteDance ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for GLM-5.3 · 90 for Seed 2.1 Turbo
GLM-5.3 outperforms in 6 benchmarks (CyberGym, Humanity's Last Exam, NL2Repo, PostTrainBench, Terminal-Bench 2.1, Toolathlon), while Seed 2.1 Turbo is better at 1 benchmark (Program Bench).
GLM-5.3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GLM-5.3 specifies input context (1,048,576 tokens). Only GLM-5.3 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Seed 2.1 Turbo supports multimodal inputs, whereas GLM-5.3 does not.
Seed 2.1 Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Seed 2.1 Turbo
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Seed 2.1 Turbo was released on 2026-06-24.
GLM-5.3 is 2 months newer than Seed 2.1 Turbo.
Aug 14, 2026
2 weeks ago
1mo newerJun 24, 2026
2 months ago
Knowledge 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-5.3 and Seed 2.1 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Seed 2.1 Turbo.