AI model comparison

GLM 5.3 FlashX vs DeepSeek V4.1 Flash

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s.

Input / 1M
$0.37
Output / 1M
$1.25
Context
1.05M

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.

Input / 1M
$0.30
Output / 1M
$1.20
Context
1.05M

At a glance

Quick verdict

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

Lower price

deepseek logo

DeepSeek V4.1 Flash

1.1x cheaper for a typical chat

Higher intelligence score

Tie

Not enough benchmark data

Larger context window

Tie

1.05M vs 1.05M tokens

Newer release

z-ai logo

GLM 5.3 FlashX

Released September 18, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

z-ai logoGLM 5.3 FlashXNot available
deepseek logoDeepSeek V4.1 Flash39.5

Coding index

z-ai logoGLM 5.3 FlashXNot available
deepseek logoDeepSeek V4.1 FlashNot available

Agentic index

z-ai logoGLM 5.3 FlashXNot available
deepseek logoDeepSeek V4.1 FlashNot available

Pricing

GLM 5.3 FlashX vs DeepSeek V4.1 Flash API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 5.3 FlashXdeepseek logoDeepSeek V4.1 Flash
Input tokensPer 1M tokens$0.37$0.30
Output tokensPer 1M tokens$1.25$1.20
Cached input (read)Per 1M tokens$0.09$0.01
Cache writePer 1M tokensNot availableNot 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

z-ai logoGLM 5.3 FlashX$1.37
deepseek logoDeepSeek V4.1 Flash$1.20

Coding task

30K in, 4K out

z-ai logoGLM 5.3 FlashX$16.10$7.70 cached
deepseek logoDeepSeek V4.1 Flash$13.80$4.98 cached

Long document summary

150K in, 2K out

z-ai logoGLM 5.3 FlashX$58$16 cached
deepseek logoDeepSeek V4.1 Flash$47.40$3.30 cached

Specs

Context window and capabilities

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

Metricz-ai logoGLM 5.3 FlashXdeepseek logoDeepSeek V4.1 Flash
Context window1.05M tokens1.05M tokens
Max output131K tokens944K tokens
Input typesImage, Text, VideoImage, Text
Output typesTextText
Reasoning effort levelsMax, High, LowMax, High, Low
Default reasoning effortMaxHigh
Release dateSeptember 18, 2026September 10, 2026

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 5.3 FlashXdeepseek logoDeepSeek V4.1 Flash
Tool callingSupportedSupported
Structured outputsNot supportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesNot supportedSupported
Deterministic seedNot supportedSupported
Verbosity controlNot supportedNot supported

Our take

DeepSeek V4.1 Flash is 1.1x 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 FlashX or DeepSeek V4.1 Flash cheaper?

DeepSeek V4.1 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4.1 Flash costs $0.30 per 1M input tokens and $1.20 per 1M output tokens, while GLM 5.3 FlashX costs $0.37 per 1M input tokens and $1.25 per 1M output tokens.

Which has a bigger context window, GLM 5.3 FlashX or DeepSeek V4.1 Flash?

GLM 5.3 FlashX supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4.1 Flash.

Can I use GLM 5.3 FlashX and DeepSeek V4.1 Flash at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 FlashX and DeepSeek V4.1 Flash answer side by side and keep the better response.

z-ai logodeepseek logo

Why choose? Ask both.

Send one prompt to GLM 5.3 FlashX and DeepSeek V4.1 Flash at the same time. Compare the answers side by side and keep the best one.