SSyncDev

AI model comparison

Qwen/Qwen3-32B vs zai-org/GLM-5.2

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This Qwen/Qwen3-32B vs zai-org/GLM-5.2 comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Qwen/Qwen3-32B by Qwen currently records 41.0K context, 16.4K maximum output, $0.10 input per 1M tokens, $0.30 output per 1M tokens. zai-org/GLM-5.2 by zai-org records 1M context, 131.1K maximum output, $1.40 input per 1M tokens, $4.40 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

Qwen

Qwen/Qwen3-32B

Qwen/Qwen3-32B is a source-linked Hugging Face repository assigned to Text generation. Its recorded task interface accepts text and produces text.

Context
41.0K
Max output
16.4K
Input / 1M
$0.10
Output / 1M
$0.30
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗
VS

zai-org

zai-org/GLM-5.2

Hugging Face repository for Text generation.

Context
1M
Max output
131.1K
Input / 1M
$1.40
Output / 1M
$4.40
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Qwen/Qwen3-32B leads in recorded data

  • Input price: $0.10
  • Output price: $0.30

Where zai-org/GLM-5.2 leads in recorded data

  • Context capacity: 1M
  • Maximum output: 131.1K

Context capacity

Higher listed limit

Qwen/Qwen3-32B:41.0K

zai-org/GLM-5.2:1M

zai-org/GLM-5.2

Maximum output

Higher listed limit

Qwen/Qwen3-32B:16.4K

zai-org/GLM-5.2:131.1K

zai-org/GLM-5.2

Input price

Lower recorded price

Qwen/Qwen3-32B:$0.10

zai-org/GLM-5.2:$1.40

Qwen/Qwen3-32B

Output price

Lower recorded price

Qwen/Qwen3-32B:$0.30

zai-org/GLM-5.2:$4.40

Qwen/Qwen3-32B

Output speed

Higher recorded throughput

Qwen/Qwen3-32B:—

zai-org/GLM-5.2:—

No complete comparison

Time to first token

Lower recorded latency

Qwen/Qwen3-32B:—

zai-org/GLM-5.2:—

No complete comparison

Intelligence Index

Higher directory index

Qwen/Qwen3-32B:—

zai-org/GLM-5.2:—

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationQwen/Qwen3-32Bzai-org/GLM-5.2
ProviderQwenzai-org
Model family——
Accepted inputstexttext
Produced outputstexttext
Context window41.0K1MRecorded lead
Max output16.4K131.1KRecorded lead
Intelligence Index——
Input price / 1M$0.10Recorded lead$1.40
Output price / 1M$0.30Recorded lead$4.40
Output speed——
Time to first token——
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseNot documentedNot documented
ReleasedApr 1, 2025Jun 13, 2026

Workload guidance

Which model should you choose?

Qwen/Qwen3-32B currently leads on lower recorded input price, lower recorded output price. zai-org/GLM-5.2 currently leads on larger context, larger maximum output. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

Open model comparison