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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 3.5 TranscribeGoogleRemove
  2. Jina Embeddings V5 Text SmallJina AIRemove
  3. GPT-6 LunaOpenAIRemove
gemini-3.5-transcribe vs jina-embeddings-v5-text-small vs gpt-6-luna
AttributeGemini 3.5 Transcribegemini-3.5-transcribeJina Embeddings V5 Text Smalljina-embeddings-v5-text-smallGPT-6 Lunagpt-6-luna
Pricing
Input— Not priced per input token$0.05 / 1M$0.10 / 1M
Output— Not priced per output token— Not priced per output token$0.50 / 1M
Cache Write (5m)Not applicable$0.05 / 1M$0.10 / 1M
Cache Write (1h)Not applicable$0.05 / 1M$0.10 / 1M
Cache ReadNot applicable$0.05 / 1M$0.10 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context98.3K8.2K1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoNoYes
Catalogue
ProviderGoogleJina AIOpenAI
Categoryvoiceembeddingchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryGoogle 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.