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Gemma 4
Mid tier
Tool calling

Gemma 4 12B

Unified 12B multimodal with 256K context.

by Google

Gemma 4 group

Overview

Gemma 4 12B Unified is the mid-size dense instruct model — text, image, and audio with a 256K window. The default pick when E4B is too small and 26B/31B is overkill.

Gemma 4 12B trains on your agent's own traces with LoRA adapters or full finetuning, is benchmarked against your production model before any traffic moves, and serves through the same OpenAI-compatible API as every Overmind model. The final weights are yours to download and run anywhere.

Good for

  • Long-context coding and agent workflows
  • Multimodal document/UI understanding
  • Mid-tier LoRA specialization

More in Gemma 4

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Specs & cost

Cost to trainfrom $1.00
Cost to run (1M tok)from $6.00
GroupGemma 4
FamilyGoogle
Parameters12B
TierMid
Context window256K
Max training context256K
Tool callingYes
Methods—
Train now
Training docs

On Overmind

  1. 01 Train on your data

    LoRA or full finetuning on a training-intent dataset from your agent's traces. Overmind recommends tiers from your data stats; you can edit every setting.

  2. 02 Benchmark vs production

    Each finished model is scored on your eval set with your rubric against the model your agent runs today. The headline is the baseline delta per metric.

  3. 03 Serve and own the weights

    Succeeded runs deploy automatically to Inference through the same OpenAI-compatible API. The final weights are yours to download and run anywhere.