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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.

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

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Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access

perceptron-mk1.5 vs qwen3.8-2.4t-a95b vs gemini-3.1-flash-lite-image-vertex
Attribute	Perceptron Mk1.5perceptron-mk1.5	Qwen3.8 2.4T A95Bqwen3.8-2.4t-a95b	Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input	$0.15 / 1M	$1.80 / 1M	—
Output	$1.50 / 1M	$5.40 / 1M	—
Cache Write (5m)	$0.15 / 1M	$1.80 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	$1.80 / 1M	Not applicable
Cache Read	$0.15 / 1M	$1.80 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	—
Request	—	—	$0.0336 / request
Billing	—	—	Pay Per Request
Context
Max context	36.9K	262K	N/A
Max output	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes
Function Calling	No	Yes	No
JSON Mode	No	Yes	No
Streaming	Yes	Yes	No
Catalogue
Provider	Perceptron	Alibaba	Google
Category	chat	chat	image
Charge type	Pay As You Go	Pay As You Go	Pay Per Request
Released	2026-09-25	—	—
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	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.	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.