Model Comparison

GLM-5 vs Qwen3.5-397B-A17B

GLM-5 significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is 1.1x cheaper per token.

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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 Qwen3.5-397B-A17B is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.7x more expensive than Qwen3.5-397B-A17B ($0.60/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.1x cheaper than Qwen3.5-397B-A17B ($3.60/1M tokens).

In conclusion, GLM-5 is more expensive than Qwen3.5-397B-A17B.*

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

347.0B diff

GLM-5 has 347.0B more parameters than Qwen3.5-397B-A17B, making it 87.4% larger.

Zhipu AI
GLM-5
744.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
744.0B
GLM-5
397.0B
Qwen3.5-397B-A17B

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B is limited to 64,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas GLM-5 does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Qwen3.5-397B-A17B 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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen3.5-397B-A17B was released on 2026-02-16.

Qwen3.5-397B-A17B is 0 month newer than GLM-5.

GLM-5

Feb 11, 2026

1 months ago

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

5d 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. Qwen3.5-397B-A17B is available from Novita.

GLM-5

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

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive output tokens
Higher BrowseComp score (75.9% vs 69.0%)
Higher SWE-Bench Verified score (77.8% vs 76.4%)
Higher t2-bench score (89.7% vs 86.7%)
Higher Terminal-Bench 2.0 score (56.2% vs 52.5%)
Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B

FAQ

Common questions about GLM-5 vs Qwen3.5-397B-A17B

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.
Qwen3.5-397B-A17B is 1.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita.
GLM-5 supports 200K tokens and Qwen3.5-397B-A17B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 262K), input pricing ($1.00 vs $0.60/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team.