AI model comparison

GLM 5.3 vs DeepSeek V4 Pro 0423

Side by side comparison of GLM 5.3 and DeepSeek V4 Pro 0423 on pricing, benchmark scores, context window, and more.

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.

Input / 1M: $0.07
Output / 1M: $1.40
Context: 1.05M

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.

Input / 1M: $0.89
Output / 1M: $1.78
Context: 1.05M

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At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

GLM 5.3

3.2x cheaper for a typical chat

Higher intelligence score

Not available

Not enough benchmark data

Larger context window

Tie

1.05M vs 1.05M tokens

Newer release

GLM 5.3

Released August 18, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

GLM 5.331.7

DeepSeek V4 Pro 0423Not available

Coding index

GLM 5.374.8

DeepSeek V4 Pro 042359.4

Agentic index

GLM 5.353.1

DeepSeek V4 Pro 042326.3

Pricing

GLM 5.3 vs DeepSeek V4 Pro 0423 API pricing

Per-token API rates. Cheaper option highlighted.

Metric	GLM 5.3	DeepSeek V4 Pro 0423
Input tokensPer 1M tokens	$0.07	$0.89
Output tokensPer 1M tokens	$1.40	$1.78
Cached input (read)Per 1M tokens	$0.07	$0.07
Cache writePer 1M tokens	Not available	Not available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

GLM 5.3$0.84

DeepSeek V4 Pro 0423$2.67

Coding task

30K in, 4K out

GLM 5.3$7.70$7.67 cached

DeepSeek V4 Pro 0423$33.78$9.33 cached

Long document summary

150K in, 2K out

GLM 5.3$13.29$13.14 cached

DeepSeek V4 Pro 0423$136.90$14.67 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metric	GLM 5.3	DeepSeek V4 Pro 0423
Context window	1.05M tokens	1.05M tokens
Max output	944K tokens	384K tokens
Input types	Text	Text
Output types	Text	Text
Reasoning effort levels	Max, High, Low	Extra high, High, None
Default reasoning effort	Max	High
Release date	August 18, 2026	April 24, 2026

Features

Supported features

API features available for each model.

Metric	GLM 5.3	DeepSeek V4 Pro 0423
Tool calling	Supported	Supported
Structured outputs	Supported	Supported
JSON mode	Supported	Supported
Reasoning	Supported	Supported
Temperature	Supported	Supported
Stop sequences	Supported	Supported
Deterministic seed	Supported	Supported
Verbosity control	Not supported	Not supported

Our take

GLM 5.3 is 3.2x cheaper for a typical chat. The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is GLM 5.3 or DeepSeek V4 Pro 0423 cheaper?

GLM 5.3 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 costs $0.07 per 1M input tokens and $1.40 per 1M output tokens, while DeepSeek V4 Pro 0423 costs $0.89 per 1M input tokens and $1.78 per 1M output tokens.

Which has a bigger context window, GLM 5.3 or DeepSeek V4 Pro 0423?

GLM 5.3 supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4 Pro 0423.

Can I use GLM 5.3 and DeepSeek V4 Pro 0423 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 and DeepSeek V4 Pro 0423 answer side by side and keep the better response.

Why choose? Ask both.

Send one prompt to GLM 5.3 and DeepSeek V4 Pro 0423 at the same time. Compare the answers side by side and keep the best one.

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