GLM-5 vs Qwen3.5-35B-A3B Comparison

Comparing GLM-5 and Qwen3.5-35B-A3B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-5 outperforms in 4 benchmarks (BrowseComp, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while Qwen3.5-35B-A3B is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-35B-A3B costs less

For input processing, GLM-5 ($1.00/1M tokens) is 4.0x more expensive than Qwen3.5-35B-A3B ($0.25/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.6x more expensive than Qwen3.5-35B-A3B ($2.00/1M tokens).

In conclusion, GLM-5 is more expensive than Qwen3.5-35B-A3B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
Input tokens$0.25
Output tokens$2.00
Best providerNovita
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Model Size

Parameter count comparison

709.0B diff

GLM-5 has 709.0B more parameters than Qwen3.5-35B-A3B, making it 2025.7% larger.

Zhipu AI
GLM-5
744.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
35.0Bparameters
744.0B
GLM-5
35.0B
Qwen3.5-35B-A3B

Context Window

Maximum input and output token capacity

Qwen3.5-35B-A3B accepts 262,144 input tokens compared to GLM-5's 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Qwen3.5-35B-A3B is limited to 65,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
Input262,144 tokens
Output65,000 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-35B-A3B supports multimodal inputs, whereas GLM-5 does not.

Qwen3.5-35B-A3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Qwen3.5-35B-A3B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Qwen3.5-35B-A3B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Qwen3.5-35B-A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen3.5-35B-A3B was released on 2026-02-24.

Qwen3.5-35B-A3B is 0 month newer than GLM-5.

GLM-5

Feb 11, 2026

1 months ago

Qwen3.5-35B-A3B

Feb 24, 2026

3 weeks ago

1w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5 is available from ZAI. Qwen3.5-35B-A3B is available from Novita. The availability of providers can affect quality of the model and reliability.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Qwen3.5-35B-A3B

novita logo
Novita
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher BrowseComp score (75.9% vs 61.0%)
Higher SWE-Bench Verified score (77.8% vs 69.2%)
Higher t2-bench score (89.7% vs 81.2%)
Higher Terminal-Bench 2.0 score (56.2% vs 40.5%)
Alibaba Cloud / Qwen Team

Qwen3.5-35B-A3B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B