For Developers/Models/Compare/Gemini 2.5 Flash vs Gemma 4 12B

Gemini 2.5 Flash vs Gemma 4 12B

Pricing, benchmarks, and use case comparison

Quick take

  • Gemma 4 12B leads on 1 of 1 shared benchmarks, including Context window (256K tokens vs 1M tokens).
  • Gemini 2.5 Flash is meaningfully stronger at speed (90 vs 78 on our capability index).
  • Gemma 4 12B is open-weights (free to self-host); Gemini 2.5 Flash is paid API only.
  • Gemma 4 12B has a 256K tokens context window vs 1,048,576 tokens (1M) input; up to 65,535 output - better for whole-repo or long-document work.

Specs comparison

Gemini 2.5 FlashGemma 4 12B
ProviderGoogle DeepMindGoogle
TypeClosed sourceOpen source
Context window1,048,576 tokens (1M) input; up to 65,535 output256K tokens
Input / 1M tokens$0.30Free (self-host)
Output / 1M tokens$2.50Free (self-host)
Release date2025-062026-06

Benchmarks

BenchmarkGemini 2.5 FlashGemma 4 12B
Context window1M tokens256K tokens
Input price$0.30/1M-
Total parameters-~11.95B

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose Gemini 2.5 Flash if...

  • High-volume, latency-sensitive production workloads
  • Chatbots, extraction, classification, and summarization at scale
  • You need decent reasoning but must control costs
Full Gemini 2.5 Flash details →

Choose Gemma 4 12B if...

  • You need an open, self-hostable multimodal model
  • Running on a single consumer GPU or a laptop
  • Data-privacy or on-prem requirements
  • You want a permissive license (Apache 2.0) for commercial use
Full Gemma 4 12B details →

Compare Gemini 2.5 Flash with others