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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 AI Studio)GoogleEnterprise & partner accessRemove
  2. Muse Glimmer 30BMetaRemove
  3. Perceptron Mk1.5PerceptronRemove
gemini-3.1-flash-lite-image-aistudio vs muse-glimmer-30b vs perceptron-mk1.5
AttributeGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudioMuse Glimmer 30Bmuse-glimmer-30bPerceptron Mk1.5perceptron-mk1.5
Pricing
Request$0.0336 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$0.35 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$0.35 / 1M$0.15 / 1M
Cache ReadNot applicable$0.35 / 1M$0.15 / 1M
Input—$0.35 / 1M$0.15 / 1M
Output—$1.50 / 1M$1.50 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A131K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesYes
Catalogue
ProviderGoogleMetaPerceptron
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 AI Studio. 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.Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It combines strong multi-step reasoning, reliable tool use, failure recovery, image understanding, and multilingual support across 100+ languages. Designed for long-horizon agentic and coding workflows, Muse Glimmer 30B offers a practical balance of capability and deployment efficiency, making it well suited for local coding assistants, multimodal agents, and production workflows that require sustained autonomous execution.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.