whichllmmodel
Back to Dashboard
Alibaba Cloud (Qwen)

Qwen3.6-35B-A3B

VS
Z.ai (Zhipu AI)

GLM-5.2

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-5.2 is the premium intelligence choice, scoring 12.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.6-35B-A3B is 3.8x cheaper to run and delivers 1.0x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.6-35B-A3B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-5.2 fully justifies the cost.

Model Specs

Qwen3.6-35B-A3B

Benchmarks & Scores

Coding (swe-bench-pro)
49.5%
Reasoning (gpqa-diamond)
86%

Cost & Performance

Cost (per 1M tokens)3.8x cheaper
$0.56Input: $0.25 | Output: $1.50
Speed
128 tps
Context Window
1M tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+12.6%)
62.1%
Reasoning (gpqa-diamond)Winner (+5.2%)
91.2%

Cost & Performance

Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40
Speed
N/A
Context WindowLarger
1.05M tokens

Frequently Asked Questions

Qwen3.6-35B-A3B is cheaper than GLM-5.2. Qwen3.6-35B-A3B has a blended cost of $0.56/1M tokens, which is about 3.8x cheaper than GLM-5.2 at $2.15/1M tokens.

Speed data is not available for GLM-5.2, while Qwen3.6-35B-A3B generates 128 tokens per second.

GLM-5.2 is better for coding tasks. It scores 62.1% on coding evaluations (swe-bench-pro) compared to Qwen3.6-35B-A3B which scores 49.5%.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard