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Qwen 3
Mid tier
Tool calling

Qwen 3 14B

Mid-tier dense Qwen 3 for parallel experiments against compact and large.

by Qwen

Qwen 3 group

Overview

Qwen 3 gives you the widest size ladder in the catalogue: 0.6B through 32B, plus a code-specialised mixture-of-experts model. Hold the family constant, vary only size across parallel experiments, and let the benchmark pick the winner against your production model.

Qwen 3 14B 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

  • Side-by-side size sweeps in one family
  • Code agents (via Qwen 3 Coder 30B)
  • Compact bases when tool calling is optional

More in Qwen 3

← Back to all models
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Specs & cost

Cost to trainfrom $1.25
Cost to run (1M tok)from $10.00
GroupQwen 3
FamilyQwen
Parameters14B
TierMid
Context window128K
Max training context40K
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.