AI model comparison

GLM 5.3 Flash vs Qwen3.6 35B A3B

Side by side comparison of GLM 5.3 Flash and Qwen3.6 35B A3B 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

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token.

Input / 1M
$0.10
Output / 1M
$0.90
Context
262K

Comparing image generators? Compare image models

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

1.2x 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 262K 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
qwen logoQwen3.6 35B A3BNot available

Coding index

z-ai logoGLM 5.3 Flash71.5
qwen logoQwen3.6 35B A3B41.9

Agentic index

z-ai logoGLM 5.3 Flash50.9
qwen logoQwen3.6 35B A3B13.1

Pricing

GLM 5.3 Flash vs Qwen3.6 35B A3B API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 5.3 Flashqwen logoQwen3.6 35B A3B
Input tokensPer 1M tokens$0.15$0.10
Output tokensPer 1M tokens$0.50$0.90
Cached input (read)Per 1M tokens$0.03$0.03
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
qwen logoQwen3.6 35B A3B$0.65

Coding task

30K in, 4K out

z-ai logoGLM 5.3 Flash$6.50$2.90 cached
qwen logoQwen3.6 35B A3B$6.60$4.35 cached

Long document summary

150K in, 2K out

z-ai logoGLM 5.3 Flash$23.50$5.50 cached
qwen logoQwen3.6 35B A3B$16.80$5.55 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 Flashqwen logoQwen3.6 35B A3B
Context window1.05M tokens262K tokens
Max output944K tokens236K tokens
Input typesImage, Text, VideoImage, Text, Video
Output typesTextText
Reasoning effort levelsMax, High, LowNot available
Default reasoning effortMaxNot available
Release dateAugust 26, 2026April 27, 2026

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 5.3 Flashqwen logoQwen3.6 35B A3B
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

GLM 5.3 Flash is 1.2x cheaper for a typical chat. GLM 5.3 Flash has the larger context window (1.05M vs 262K 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 Qwen3.6 35B A3B 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 Qwen3.6 35B A3B costs $0.10 per 1M input tokens and $0.90 per 1M output tokens.

Which has a bigger context window, GLM 5.3 Flash or Qwen3.6 35B A3B?

GLM 5.3 Flash supports up to 1.05M tokens of context, compared with 262K for Qwen3.6 35B A3B.

Can I use GLM 5.3 Flash and Qwen3.6 35B A3B at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 Flash and Qwen3.6 35B A3B answer side by side and keep the better response.

z-ai logoqwen logo

Why choose? Ask both.

Send one prompt to GLM 5.3 Flash and Qwen3.6 35B A3B at the same time. Compare the answers side by side and keep the best one.