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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. Muse Glimmer 30BMetaRemove
  2. Gemini 3.1 Flash Lite Image (Google AI Studio)GoogleEnterprise & partner accessRemove
  3. Perceptron Mk1.5PerceptronRemove
muse-glimmer-30b vs gemini-3.1-flash-lite-image-aistudio vs perceptron-mk1.5
AttributeMuse Glimmer 30Bmuse-glimmer-30bGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudioPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.35 / 1M—$0.15 / 1M
Output$1.50 / 1M—$1.50 / 1M
Cache Write (5m)$0.35 / 1MNot applicable$0.15 / 1M
Cache Write (1h)$0.35 / 1MNot applicable$0.15 / 1M
Cache Read$0.35 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M—$0 / 1M
Request—$0.0336 / request—
Billing—Pay Per Request—
Context
Max context131KN/A36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesNoYes
Catalogue
ProviderMetaGooglePerceptron
Categorychatimagechat
Charge typePay As You GoPay Per RequestPay As You Go
Released——2026-09-25
Description
SummaryMuse 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.