GLM-5.1 vs Qwen3.6-35B-A3B
GLM-5.1 leads the LLM Stats Score 39.4 to 32.5.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5.1 leads the overall LLM Stats Score 39.4 to 32.5, ranking #55 overall.
In the 12 individual benchmarks reported for both models, GLM-5.1 wins 11; 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-5.1
- overall performance matters — it scores 39.4 and ranks #55 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 11 of 12 exact shared results
Choose Qwen3.6-35B-A3B
- you want the most recent training data — it shipped Apr 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for GLM-5.1 · 49 for Qwen3.6-35B-A3B
GLM-5.1 outperforms in 11 benchmarks (AIME 2026, GPQA, HMMT 2025, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, NL2Repo, SWE-Bench Pro, TAU3-Bench, Terminal-Bench 2.0, Toolathlon), while Qwen3.6-35B-A3B is better at 1 benchmark (HMMT Feb 26).
GLM-5.1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
GLM-5.1 has 719.0B more parameters than Qwen3.6-35B-A3B, making it 2054.3% larger.
Context Window
Maximum input and output token capacity
Only GLM-5.1 specifies input context (200,000 tokens). Only GLM-5.1 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.6-35B-A3B supports multimodal inputs, whereas GLM-5.1 does not.
Qwen3.6-35B-A3B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.1
Qwen3.6-35B-A3B
License
Usage and distribution terms
GLM-5.1 is licensed under MIT, while Qwen3.6-35B-A3B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-5.1 was released on 2026-04-07, while Qwen3.6-35B-A3B was released on 2026-04-16.
Qwen3.6-35B-A3B is 0 month newer than GLM-5.1.
Apr 7, 2026
5 months ago
Apr 16, 2026
4 months ago
1w 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-5.1 and Qwen3.6-35B-A3B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.1 vs Qwen3.6-35B-A3B.