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GLM-5.3 vs Qwen3.8-27B

GLM-5.3 significantly outperforms across most benchmarks.

Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GLM-5.3 outperforms in 4 benchmarks (DeepSWE 1.1, Humanity's Last Exam, NL2Repo, Terminal-Bench 2.1), while Qwen3.8-27B is better at 1 benchmark (Agents' Last Exam). GLM-5.3 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks

Choose Qwen3.8-27B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
4 of 5
1 of 5
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
Released
Aug 2026
Aug 2026
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GLM-5.3 outperforms in 4 benchmarks (DeepSWE 1.1, Humanity's Last Exam, NL2Repo, Terminal-Bench 2.1), while Qwen3.8-27B is better at 1 benchmark (Agents' Last Exam).

GLM-5.3 significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

725.2B diff

GLM-5.3 has 725.2B more parameters than Qwen3.8-27B, making it 2610.4% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
753.0B
GLM-5.3
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas GLM-5.3 does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

Release Timeline

When each model was launched

Both models were released on 2026-08-14.

They likely represent similar generations of model development.

GLM-5.3

Aug 14, 2026

1 weeks ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-5.3 and Qwen3.8-27B side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about GLM-5.3 vs Qwen3.8-27B.

Which is better, GLM-5.3 or Qwen3.8-27B?

GLM-5.3 significantly outperforms across most benchmarks. GLM-5.3 is made by Zhipu AI and Qwen3.8-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5.3 compare to Qwen3.8-27B in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for GLM-5.3 and Qwen3.8-27B?

GLM-5.3 supports 1.0M tokens and Qwen3.8-27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Qwen3.8-27B?

GLM-5.3 is developed by Zhipu AI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.