Overview
Gemma 4 31B is the flagship dense instruct model. Pick it when quality beats MoE speed and you can afford H100-class train/serve (QLoRA recommended).
Gemma 4 31B 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
- Maximum-quality coding and reasoning LoRA
- Long-context multimodal document work
- Evals where 26B-A4B leaves quality on the table
More in Gemma 4
Specs & cost
On Overmind
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.
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.
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.