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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. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
  2. Qwen3 VL 8B ThinkingAlibabaRemove
gemini-3.1-flash-lite-image-vertex vs qwen3-vl-8b-thinking
AttributeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexQwen3 VL 8B Thinkingqwen3-vl-8b-thinking
Pricing
Request$0.0336 / request—
BillingPay Per Request—
Cache Write (5m)Not applicable$0.18 / 1M
Cache Write (1h)Not applicable$0.18 / 1M
Cache ReadNot applicable$0.18 / 1M
Input—$0.18 / 1M
Output—$2.10 / 1M
Web Search—$0 / 1M
Context
Max contextN/A256K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingNoYes
JSON ModeNoYes
StreamingNoYes
Catalogue
ProviderGoogleAlibaba
Categoryimagechat
Charge typePay Per RequestPay As You Go
Released——
Description
SummaryGemini 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-VL-8B-Thinking is the reasoning-focused version of the Qwen3-VL-8B multimodal model, built for advanced visual and textual reasoning across images, documents, and video. It adds deeper vision-language fusion and deliberate reasoning paths, supports very long context (256K–1M tokens), and excels at STEM problem solving, causal analysis, and multi-step video understanding — while retaining strong OCR, multilingual capability, and high-quality text generation.