Compare models

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

Qwen3 VL 235B A22B InstructAlibaba Remove
Gemini 3.1 Flash Lite Image (Google Vertex AI)Google Remove

Add a model

Kimi K3.1 Pro
DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
Muse Spark Open
Gemini 4 Argon
Muse Wonder
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access

qwen3-vl-235b-a22b-instruct vs gemini-3.1-flash-lite-image-vertex
Attribute	Qwen3 VL 235B A22B Instructqwen3-vl-235b-a22b-instruct	Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input	$0.30 / 1M	—
Output	$1.50 / 1M	—
Cache Write (5m)	$0.30 / 1M	Not applicable
Cache Write (1h)	$0.30 / 1M	Not applicable
Cache Read	$0.30 / 1M	Not applicable
Web Search	$0 / 1M	—
Request	—	$0.0336 / request
Billing	—	Pay Per Request
Context
Max context	131.1K	N/A
Max output	N/A	N/A
Capabilities
Vision	Yes	Yes
Function Calling	Yes	No
JSON Mode	Yes	No
Streaming	Yes	No
Catalogue
Provider	Alibaba	Google
Category	chat	image
Charge type	Pay As You Go	Pay Per Request
Released	—	—
Description
Summary	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.	Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.