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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. Claude Sonnet 5.5AnthropicRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-3.1-flash-lite-preview vs claude-sonnet-5.5 vs gemini-3.5-transcribe
AttributeGemini 3.1 Flash Lite Previewgemini-3.1-flash-lite-previewClaude Sonnet 5.5claude-sonnet-5.5Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.25 / 1M$2.00 / 1M— Not priced per input token
Output$1.50 / 1M$10.00 / 1M— Not priced per output token
Cache Write (5m)$0.25 / 1M$2.50 / 1MNot applicable
Cache Write (1h)$0.25 / 1M$4.00 / 1MNot applicable
Cache Read$0.25 / 1M$0.20 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.0M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleAnthropicGoogle
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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.