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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. GLM 5Z.AIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-3.1-flash-lite-image-vertex vs glm-5 vs gemini-3.5-transcribe
AttributeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexGLM 5glm-5Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Request$0.0336 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$0.60 / 1MNot applicable
Cache Write (1h)Not applicable$0.60 / 1MNot applicable
Cache ReadNot applicable$0.60 / 1MNot applicable
Input—$0.60 / 1M— Not priced per input token
Output—$2.20 / 1M— Not priced per output token
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A202.8K98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderGoogleZ.AIGoogle
Categoryimagechatvoice
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.GLM-5 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.