Skip to content

Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Perceptron Mk1.5PerceptronRemove
  2. Muse Glimmer 30BMetaRemove
  3. Gemini 3.1 Flash Lite Image (Google AI Studio)GoogleEnterprise & partner accessRemove
perceptron-mk1.5 vs muse-glimmer-30b vs gemini-3.1-flash-lite-image-aistudio
AttributePerceptron Mk1.5perceptron-mk1.5Muse Glimmer 30Bmuse-glimmer-30bGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudio
Pricing
Input$0.15 / 1M$0.35 / 1M—
Output$1.50 / 1M$1.50 / 1M—
Cache Write (5m)$0.15 / 1M$0.35 / 1MNot applicable
Cache Write (1h)$0.15 / 1M$0.35 / 1MNot applicable
Cache Read$0.15 / 1M$0.35 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.0336 / request
Billing——Pay Per Request
Context
Max context36.9K131KN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingYesYesNo
Catalogue
ProviderPerceptronMetaGoogle
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
Released2026-09-25——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.Gemini 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.