AI Pulse by Inblix
Sunday, September 20, 2026 AutoCurated · Updated 11:15 UTC

Models · Google

Gemini 3.1 Flash-Lite

Gemini 3.1 Flash-Lite is Google's most cost-efficient model, designed for high-volume production workloads. It handles classification, extraction, and simple generation tasks at an extremely competitive price point.

Input $0.25 per 1M tokens
Output $1.50 per 1M tokens
Context 1M tokens · $1.75 combined per 1M
Estimate cost in calculator →

Benchmark performance

GPQA Diamond 82.2 / 100
Coding Index 34.7 / 100
Humanity's Last Exam 17.2 / 100
Intelligence Index 15.6 / 100

Source: Artificial Analysis. Updated 2026-09-20.

Key strengths

  • — Google's lowest-cost Gemini model
  • — Excellent throughput for batch processing
  • — 1M context at a budget price
  • — Good for simple multimodal tasks

Best use cases

  • Large-scale content classification
  • Document parsing and extraction
  • High-volume chat moderation
  • Cost-sensitive production pipelines

Pricing details

Input (per 1M tokens)$0.25
Output (per 1M tokens)$1.50
Context window1M tokens
ArchitectureLightweight Gemini architecture, 1M context, optimized for maximum cost efficiency
Provider Google

High-volume, cost-efficient

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Pricing data is sourced from official API documentation and updated weekly. Actual costs may vary based on prompt caching, batch processing, service tiers, and regional pricing. Inblix is not affiliated with Google.