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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 Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  2. Muse Spark OpenMetaRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-3.1-flash-image-vertex vs muse-spark-open vs gemini-3.5-transcribe
AttributeGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexMuse Spark Openmuse-spark-openGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Request$0.067 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$1.25 / 1MNot applicable
Cache Write (1h)Not applicable$1.25 / 1MNot applicable
Cache ReadNot applicable$1.25 / 1MNot applicable
Input—$1.25 / 1M— Not priced per input token
Output—$4.25 / 1M— Not priced per output token
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderGoogleMetaGoogle
Categoryimagechatvoice
Charge typePay Per RequestPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. 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 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K 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, for example 4096x4096->2048x2048.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.