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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. GPT-6 AstraOpenAIRemove
  3. GLM 5.3Z.AIRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

mistral-embed-2312 vs gpt-6-astra vs glm-5.3 vs gemini-3.7-flash
AttributeMistral Embed 2312mistral-embed-2312GPT-6 Astragpt-6-astraGLM 5.3glm-5.3Gemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.125 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Output$0 / 1M$50.00 / 1M$4.40 / 1M$1.88 / 1M
Cache Write (5m)$0.125 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Cache Write (1h)$0.125 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Cache Read$0.125 / 1M$10.00 / 1M$1.40 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context8.2K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderMistral AIOpenAIZ.AIGoogle
Categoryembeddingchatchatchat
Charge typePay As You GoPay 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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.