SSyncDev

AI model comparison

deepseek-ai/DeepSeek-V4-Flash 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.

deepseek-ai/DeepSeek-V4-Flash and zai-org/GLM-5.2 both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

deepseek-ai

deepseek-ai/DeepSeek-V4-Flash

Hugging Face repository for Text generation.

Context
1M
Max output
384K
Input / 1M
$0.14
Output / 1M
$0.28
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 deepseek-ai/DeepSeek-V4-Flash leads in recorded data

  • Maximum output: 384K
  • Input price: $0.14
  • Output price: $0.28

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

No complete recorded factor currently favors this model. That does not establish lower real-world quality.

Context capacity

Higher listed limit

deepseek-ai/DeepSeek-V4-Flash:1M

zai-org/GLM-5.2:1M

Same recorded value

Maximum output

Higher listed limit

deepseek-ai/DeepSeek-V4-Flash:384K

zai-org/GLM-5.2:131.1K

deepseek-ai/DeepSeek-V4-Flash

Input price

Lower recorded price

deepseek-ai/DeepSeek-V4-Flash:$0.14

zai-org/GLM-5.2:$1.40

deepseek-ai/DeepSeek-V4-Flash

Output price

Lower recorded price

deepseek-ai/DeepSeek-V4-Flash:$0.28

zai-org/GLM-5.2:$4.40

deepseek-ai/DeepSeek-V4-Flash

Output speed

Higher recorded throughput

deepseek-ai/DeepSeek-V4-Flash:—

zai-org/GLM-5.2:—

No complete comparison

Time to first token

Lower recorded latency

deepseek-ai/DeepSeek-V4-Flash:—

zai-org/GLM-5.2:—

No complete comparison

Intelligence Index

Higher directory index

deepseek-ai/DeepSeek-V4-Flash:—

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

Specificationdeepseek-ai/DeepSeek-V4-Flashzai-org/GLM-5.2
Providerdeepseek-aizai-org
Model family——
Accepted inputstexttext
Produced outputstexttext
Context window1M1M
Max output384KRecorded lead131.1K
Intelligence Index——
Input price / 1M$0.14Recorded lead$1.40
Output price / 1M$0.28Recorded 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
ReleasedJul 31, 2026Jun 13, 2026

Workload guidance

Which model should you choose?

On the published numbers, zai-org/GLM-5.2 accepts the larger context window and deepseek-ai/DeepSeek-V4-Flash is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.

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.

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