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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 Pro Image (Google AI Studio)GoogleEnterprise & partner accessRemove
  3. GPT-6.1 TerraOpenAIRemove
muse-spark-open vs gemini-3-pro-image-aistudio vs gpt-6.1-terra
AttributeMuse Spark Openmuse-spark-openGemini 3 Pro Image (Google AI Studio)gemini-3-pro-image-aistudioGPT-6.1 Terragpt-6.1-terra
Pricing
Input$1.25 / 1M—$1.00 / 1M
Output$4.25 / 1M—$5.00 / 1M
Cache Write (5m)$1.25 / 1MNot applicable$1.00 / 1M
Cache Write (1h)$1.25 / 1MNot applicable$1.00 / 1M
Cache Read$1.25 / 1MNot applicable$1.00 / 1M
Web Search$0 / 1M—$0 / 1M
Request—$0.134 / request—
Billing—Pay Per Request—
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoNo
Catalogue
ProviderMetaGoogleOpenAI
Categorychatimagechat
Charge typePay As You GoPay Per RequestPay As You Go
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 Pro Image served from Google AI Studio. Billed per image at US$0.134. 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.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.