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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 Spark OpenMetaRemove
  3. Kimi K2Moonshot AIRemove
gemini-3.1-flash-lite-image-aistudio vs muse-spark-open vs kimi-k2
AttributeGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudioMuse Spark Openmuse-spark-openKimi K2kimi-k2
Pricing
Request$0.0336 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$1.25 / 1M$0.34 / 1M
Cache Write (1h)Not applicable$1.25 / 1M$0.34 / 1M
Cache ReadNot applicable$1.25 / 1M$0.34 / 1M
Input—$1.25 / 1M$0.34 / 1M
Output—$4.25 / 1M$1.50 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A1M63K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleMetaMoonshot AI
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released———
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 Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.Kimi K2-Instruct-0905 is the newest and strongest Kimi K2 model — a trillion-parameter MoE system with 32B active parameters. It delivers major gains in agentic coding, better frontend development results, and an expanded 256K context window for longer tasks.