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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. Gemini Embedding 2GoogleRemove
  2. GPT-6 Luna ProOpenAIRemove
  3. Transcribe 1 ProFish AudioRemove
gemini-embedding-2-preview vs gpt-6-luna-pro vs transcribe-1-pro
AttributeGemini Embedding 2gemini-embedding-2-previewGPT-6 Luna Progpt-6-luna-proTranscribe 1 Protranscribe-1-pro
Pricing
Input$0.60 / 1M$0.10 / 1M— Not priced per input token
Output$2.40 / 1M$0.50 / 1M— Not priced per output token
Cache Write (5m)$0.60 / 1M$0.10 / 1MNot applicable
Cache Write (1h)$0.60 / 1M$0.10 / 1MNot applicable
Cache Read$0.60 / 1M$0.10 / 1MNot applicable
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K1.1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderGoogleOpenAIFish Audio
Categoryembeddingchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-24
Description
SummaryGemini Embedding 2 is Google's advanced text embedding model designed for high-accuracy semantic representation across large-scale retrieval and understanding tasks. It converts text into dense vector embeddings optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. Built for production use, it offers strong multilingual support, improved semantic similarity accuracy, and efficient embedding generation, making it well suited for large knowledge indexing pipelines and enterprise-scale retrieval applications.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.