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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Mistral Embed 2312Mistral AIRemove
  2. Muse Spark OpenMetaRemove
  3. GPT-6.1 TerraOpenAIRemove
mistral-embed-2312 vs muse-spark-open vs gpt-6.1-terra
AttributeMistral Embed 2312mistral-embed-2312Muse Spark Openmuse-spark-openGPT-6.1 Terragpt-6.1-terra
Pricing
Input$0.125 / 1M$1.25 / 1M$1.00 / 1M
Output— Not priced per output token$4.25 / 1M$5.00 / 1M
Cache Write (5m)$0.125 / 1M$1.25 / 1M$1.00 / 1M
Cache Write (1h)$0.125 / 1M$1.25 / 1M$1.00 / 1M
Cache Read$0.125 / 1M$1.25 / 1M$1.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesNo
Catalogue
ProviderMistral AIMetaOpenAI
Categoryembeddingchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryMistral Embed is Mistral AI's text embedding model, built for semantic search and RAG workflows. It generates 1024-dimensional vectors that capture meaningful relationships between pieces of text.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.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.