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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. Jina Embeddings V5 Text SmallJina AIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 LunaOpenAIRemove
jina-embeddings-v5-text-small vs gemini-3.5-transcribe vs gpt-6-luna
AttributeJina Embeddings V5 Text Smalljina-embeddings-v5-text-smallGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Lunagpt-6-luna
Pricing
Input$0.05 / 1M— Not priced per input token$0.10 / 1M
Output— Not priced per output token— Not priced per output token$0.50 / 1M
Cache Write (5m)$0.05 / 1MNot applicable$0.10 / 1M
Cache Write (1h)$0.05 / 1MNot applicable$0.10 / 1M
Cache Read$0.05 / 1MNot applicable$0.10 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K98.3K1.1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderJina AIGoogleOpenAI
Categoryembeddingvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
Summary—Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.