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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 Spark OpenMetaRemove
  2. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  3. Nemotron 3.5 Lightning (Free)NVIDIARemove
muse-spark-open vs gemini-3.1-flash-image-vertex vs nemotron-3.5-lightning:free
AttributeMuse Spark Openmuse-spark-openGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertexNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:free
Pricing
Input$1.25 / 1M—$0 / 1M
Output$4.25 / 1M—$0 / 1M
Cache Write (5m)$1.25 / 1MNot applicable—
Cache Write (1h)$1.25 / 1MNot applicable—
Cache Read$1.25 / 1MNot applicable$0 / 1M
Web Search$0 / 1M——
Request—$0.067 / request—
Billing—Pay Per Request—
Cache Write——$0 / 1M
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderMetaGoogleNVIDIA
Categorychatimagechat
Charge typePay As You GoPay Per RequestFree
Released———
Description
SummaryMuse 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.Gemini 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.NVIDIA Nemotron 3.5 Lightning is an open Mixture-of-Experts (MoE) model with 30B total parameters and 3B active per token, optimized for high-throughput agentic workloads and efficient inference. Its lightweight active compute and open design make it well suited for specialized agents, domain-specific customization, and scalable production deployments where speed, cost efficiency, and adaptability are key.