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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 3.1 Flash Lite PreviewGoogleRemove
  2. GPT-6 LunaOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-3.1-flash-lite-preview vs gpt-6-luna vs gemini-3.5-transcribe
AttributeGemini 3.1 Flash Lite Previewgemini-3.1-flash-lite-previewGPT-6 Lunagpt-6-lunaGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.25 / 1M$0.10 / 1M— Not priced per input token
Output$1.50 / 1M$0.50 / 1M— Not priced per output token
Cache Write (5m)$0.25 / 1M$0.10 / 1MNot applicable
Cache Write (1h)$0.25 / 1M$0.10 / 1MNot applicable
Cache Read$0.25 / 1M$0.10 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.0M1.1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleOpenAIGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGemini 3.1 Flash Lite Preview is Google's high-efficiency model designed for high-volume and cost-sensitive workloads. It improves overall quality compared to Gemini 2.5 Flash Lite while approaching the performance of Gemini 2.5 Flash across key capabilities. The model delivers enhancements in audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion, and supports configurable thinking levels (minimal, low, medium, high) for flexible cost–performance optimization. With pricing at roughly half the cost of Gemini 3 Flash, it is well suited for large-scale production deployments.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.