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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

GLM 5.3Z.AI Remove
Qwen3 VL 235B A22B InstructAlibaba Remove

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glm-5.3 vs qwen3-vl-235b-a22b-instruct
Attribute	GLM 5.3glm-5.3	Qwen3 VL 235B A22B Instructqwen3-vl-235b-a22b-instruct
Pricing
Input	$1.40 / 1M	$0.30 / 1M
Output	$4.40 / 1M	$1.50 / 1M
Cache Write (5m)	$1.40 / 1M	$0.30 / 1M
Cache Write (1h)	$1.40 / 1M	$0.30 / 1M
Cache Read	$1.40 / 1M	$0.30 / 1M
Web Search	$0 / 1M	$0 / 1M
Context
Max context	1M	131.1K
Max output	N/A	N/A
Capabilities
Vision	No	Yes
Function Calling	Yes	Yes
JSON Mode	Yes	Yes
Streaming	Yes	Yes
Catalogue
Provider	Z.AI	Alibaba
Category	chat	chat
Charge type	Pay As You Go	Pay As You Go
Released	—	—
Description
Summary	GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.	Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that combines strong language generation with image and video understanding, aimed at general vision-language tasks like VQA, document parsing, chart/table extraction, and multilingual OCR. It features robust perception, spatial grounding, and long-context visual comprehension, and supports agent-style workflows such as multi-image dialogue, video timeline alignment, GUI control, and visual-to-code assistance. With competitive benchmark performance and strong text-only ability, it's well suited for production uses across document AI, OCR, UI assistance, spatial reasoning, and vision-language research.