AI model comparison

GLM 5.3 vs Gemini 2.5 Flash

Side by side comparison of GLM 5.3 and Gemini 2.5 Flash 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

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks.

Input / 1M
$0.30
Output / 1M
$2.50
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

z-ai logo

GLM 5.3

2.2x 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

z-ai logo

GLM 5.3

Released August 18, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

z-ai logoGLM 5.331.7
google logoGemini 2.5 FlashNot available

Coding index

z-ai logoGLM 5.374.8
google logoGemini 2.5 FlashNot available

Agentic index

z-ai logoGLM 5.353.1
google logoGemini 2.5 FlashNot available

Pricing

GLM 5.3 vs Gemini 2.5 Flash API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 5.3google logoGemini 2.5 Flash
Input tokensPer 1M tokens$0.07$0.30
Output tokensPer 1M tokens$1.40$2.50
Cached input (read)Per 1M tokens$0.07$0.03
Cache writePer 1M tokensNot available$0.08
Web searchPer requestNot available$0.014

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$0.84
google logoGemini 2.5 Flash$1.85

Coding task

30K in, 4K out

z-ai logoGLM 5.3$7.70$7.67 cached
google logoGemini 2.5 Flash$19$10.90 cached

Long document summary

150K in, 2K out

z-ai logoGLM 5.3$13.29$13.14 cached
google logoGemini 2.5 Flash$50$9.50 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 5.3google logoGemini 2.5 Flash
Context window1.05M tokens1.05M tokens
Max output944K tokens66K tokens
Input typesTextAudio, File, Image, Text, Video
Output typesTextText
Reasoning effort levelsMax, High, LowNot available
Default reasoning effortMaxNot available
Release dateAugust 18, 2026June 17, 2025

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 5.3google logoGemini 2.5 Flash
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

GLM 5.3 is 2.2x 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 Gemini 2.5 Flash 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 Gemini 2.5 Flash costs $0.30 per 1M input tokens and $2.50 per 1M output tokens.

Which has a bigger context window, GLM 5.3 or Gemini 2.5 Flash?

GLM 5.3 supports up to 1.05M tokens of context, compared with 1.05M for Gemini 2.5 Flash.

Can I use GLM 5.3 and Gemini 2.5 Flash at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 and Gemini 2.5 Flash answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to GLM 5.3 and Gemini 2.5 Flash at the same time. Compare the answers side by side and keep the best one.