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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. Grok 4.6xAIRemove
  3. Perceptron Mk1.5PerceptronRemove
gemini-3.1-flash-lite-image-vertex vs grok-4.6 vs perceptron-mk1.5
AttributeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexGrok 4.6grok-4.6Perceptron Mk1.5perceptron-mk1.5
Pricing
Request$0.0336 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$2.00 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.15 / 1M
Cache ReadNot applicable$2.00 / 1M$0.15 / 1M
Input—$2.00 / 1M$0.15 / 1M
Output—$6.00 / 1M$1.50 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A500K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesYes
Catalogue
ProviderGooglexAIPerceptron
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released——2026-09-25
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.Grok 4.6 is SpaceXAI's smartest frontier model, delivering top-tier performance across coding, knowledge work, and STEM reasoning. It is designed for demanding technical and professional workloads that require strong problem solving, accurate instruction following, and reliable execution. Optimized for software engineering, scientific analysis, and complex knowledge tasks, Grok 4.6 is well suited for advanced coding, research, and agentic workflows where high capability and reasoning quality are critical.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.