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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.

Gemini 3.1 Flash Lite Image (Google Vertex AI)Google Remove
Qwen3.8 2.4T A95BAlibaba Remove
Perceptron Mk1.5Perceptron Remove

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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

gemini-3.1-flash-lite-image-vertex vs qwen3.8-2.4t-a95b vs perceptron-mk1.5
Attribute	Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex	Qwen3.8 2.4T A95Bqwen3.8-2.4t-a95b	Perceptron Mk1.5perceptron-mk1.5
Pricing
Request	$0.0336 / request	—	—
Billing	Pay Per Request	—	—
Cache Write (5m)	Not applicable	$1.80 / 1M	$0.15 / 1M
Cache Write (1h)	Not applicable	$1.80 / 1M	$0.15 / 1M
Cache Read	Not applicable	$1.80 / 1M	$0.15 / 1M
Input	—	$1.80 / 1M	$0.15 / 1M
Output	—	$5.40 / 1M	$1.50 / 1M
Web Search	—	$0 / 1M	$0 / 1M
Context
Max context	N/A	262K	36.9K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	No	Yes	No
JSON Mode	No	Yes	No
Streaming	No	Yes	Yes
Catalogue
Provider	Google	Alibaba	Perceptron
Category	image	chat	chat
Charge type	Pay Per Request	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25
Description
Summary	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.	Qwen3.8 2.4T A95B is Qwen's open-weight sparse Mixture-of-Experts (MoE) model and the open-weight counterpart to Qwen3.8 Max. It features 2.4T total parameters with 95B activated per token, combining frontier-scale capacity with efficient sparse inference. Designed for coding, research, complex reasoning, and agentic workflows, the model is well suited for demanding long-horizon tasks and advanced autonomous systems while providing the flexibility and customization benefits of open weights.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.