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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.

  1. Qwen3.5-122B-A10BAlibabaRemove
  2. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
qwen3.5-122b-a10b vs gemini-3.1-flash-lite-image-vertex
AttributeQwen3.5-122B-A10Bqwen3.5-122b-a10bGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input$0.40 / 1M—
Output$3.20 / 1M—
Cache Write (5m)$0.40 / 1MNot applicable
Cache Write (1h)$0.40 / 1MNot applicable
Cache Read$0.40 / 1MNot applicable
Web Search$0 / 1M—
Request—$0.0336 / request
Billing—Pay Per Request
Context
Max context262.1KN/A
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderAlibabaGoogle
Categorychatimage
Charge typePay As You GoPay Per Request
Released——
Description
SummaryQwen3.5-122B-A10B is a native vision-language model built on a hybrid architecture that combines linear attention mechanisms with a sparse Mixture-of-Experts (MoE) design for improved inference efficiency. In overall performance, it ranks just below Qwen3.5-397B-A17B, delivering substantial gains over previous generations. Its text capabilities significantly exceed Qwen3-235B-2507, while its visual performance surpasses Qwen3-VL-235B, making it a strong high-end option for advanced multimodal and agent-driven applications.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.