AI model comparison

GLM 5.3 Flash vs Inkling Small

Side by side comparison of GLM 5.3 Flash and Inkling Small on pricing, benchmark scores, context window, and more.

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.

Input / 1M
$0.15
Output / 1M
$0.50
Context
1.05M

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total.

Input / 1M
$0.45
Output / 1M
$1.20
Context
524K

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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 Flash

2.7x cheaper for a typical chat

Higher intelligence score

Not available

Not enough benchmark data

Larger context window

z-ai logo

GLM 5.3 Flash

1.05M vs 524K tokens

Newer release

z-ai logo

GLM 5.3 Flash

Released August 26, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

z-ai logoGLM 5.3 FlashNot available
thinkingmachines logoInkling Small12.9

Coding index

z-ai logoGLM 5.3 Flash71.5
thinkingmachines logoInkling Small52.9

Agentic index

z-ai logoGLM 5.3 Flash50.9
thinkingmachines logoInkling Small23.5

Pricing

GLM 5.3 Flash vs Inkling Small API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 5.3 Flashthinkingmachines logoInkling Small
Input tokensPer 1M tokens$0.15$0.45
Output tokensPer 1M tokens$0.50$1.20
Cached input (read)Per 1M tokens$0.03$0.10
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 Flash$0.55
thinkingmachines logoInkling Small$1.50

Coding task

30K in, 4K out

z-ai logoGLM 5.3 Flash$6.50$2.90 cached
thinkingmachines logoInkling Small$18.30$7.80 cached

Long document summary

150K in, 2K out

z-ai logoGLM 5.3 Flash$23.50$5.50 cached
thinkingmachines logoInkling Small$69.90$17.40 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 Flashthinkingmachines logoInkling Small
Context window1.05M tokens524K tokens
Max output944K tokens262K tokens
Input typesImage, Text, VideoAudio, Image, Text
Output typesTextText
Reasoning effort levelsMax, High, LowMax, High, Medium, Low, Minimal, None
Default reasoning effortMaxHigh
Release dateAugust 26, 2026July 30, 2026

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 5.3 Flashthinkingmachines logoInkling Small
Tool callingSupportedSupported
Structured outputsSupportedNot supported
JSON modeSupportedNot supported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

GLM 5.3 Flash is 2.7x cheaper for a typical chat. GLM 5.3 Flash has the larger context window (1.05M vs 524K tokens). 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 Flash or Inkling Small cheaper?

GLM 5.3 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 Flash costs $0.15 per 1M input tokens and $0.50 per 1M output tokens, while Inkling Small costs $0.45 per 1M input tokens and $1.20 per 1M output tokens.

Which has a bigger context window, GLM 5.3 Flash or Inkling Small?

GLM 5.3 Flash supports up to 1.05M tokens of context, compared with 524K for Inkling Small.

Can I use GLM 5.3 Flash and Inkling Small at the same time?

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

z-ai logothinkingmachines logo

Why choose? Ask both.

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