Skip to content
Apertis

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. GPT-6 Sol ProOpenAIRemove
  2. Gemini Embedding 2GoogleRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gpt-6-sol-pro vs gemini-embedding-2-preview vs gemini-3.5-transcribe
AttributeGPT-6 Sol Progpt-6-sol-proGemini Embedding 2gemini-embedding-2-previewGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M$0.60 / 1M— Not priced per input token
Output$10.00 / 1M$2.40 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$0.60 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.60 / 1MNot applicable
Cache Read$2.00 / 1M$0.60 / 1MNot applicable
Web Search$0 / 1M—$0 / 1M
Context
Max context1.1M8.2K98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderOpenAIGoogleGoogle
Categorychatembeddingvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.Gemini 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.