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GLM-5.3 vs QwQ-32B

Comparing GLM-5.3 and QwQ-32B across benchmarks, pricing, and capabilities.

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

Which is better?

GLM-5.3 and QwQ-32B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GLM-5.3

  • you want the most recent training data — it shipped Aug 2026

Choose QwQ-32B

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

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
QwQ-32B
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Mar 2025
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and QwQ-32Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

720.5B diff

GLM-5.3 has 720.5B more parameters than QwQ-32B, making it 2216.9% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
753.0B
GLM-5.3
32.5B
QwQ-32B

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
QwQ-32B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while QwQ-32B was released on 2025-03-05.

GLM-5.3 is 18 months newer than QwQ-32B.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.4yr newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while GLM-5.3's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without GLM-5.3's cutoff date.

GLM-5.3

—

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and QwQ-32B side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about GLM-5.3 vs QwQ-32B.

Which is better, GLM-5.3 or QwQ-32B?

GLM-5.3 (Zhipu AI) and QwQ-32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3 compare to QwQ-32B 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%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for GLM-5.3 and QwQ-32B?

GLM-5.3 supports 1.0M tokens and QwQ-32B 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 QwQ-32B?

Key differences include licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and QwQ-32B?

GLM-5.3 is developed by Zhipu AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.

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