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GLM-5.3 vs QwQ-32B-Preview

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

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

Which is better?

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

On price, QwQ-32B-Preview is roughly 13.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose QwQ-32B-Preview

  • cost matters — it's about 13.2x cheaper per token
  • 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-Preview
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$1.40 / M
$0.15 / M
Output price
$4.40 / M
$0.20 / M
Context window
1,000,000
32,768
Released
Aug 2026
Nov 2024
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and QwQ-32B-Previewdon'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

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 9.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 22.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, GLM-5.3 is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

720.5B diff

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

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

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. GLM-5.3 can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while QwQ-32B-Preview was released on 2024-11-28.

GLM-5.3 is 21 months newer than QwQ-32B-Preview.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.7yr newer
QwQ-32B-Preview

Nov 28, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

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

We can confirm QwQ-32B-Preview'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-Preview

Nov 2024

Provider Availability

GLM-5.3 is available from ZAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

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-Preview side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GLM-5.3 (Zhipu AI) and QwQ-32B-Preview (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-Preview 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-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is GLM-5.3 cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 9.3x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

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

GLM-5.3 supports 1.0M tokens and QwQ-32B-Preview supports 33K 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-Preview?

Key differences include context window (1.0M vs 33K), input pricing ($1.40 vs $0.15/M), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and QwQ-32B-Preview?

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

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