Model catalog

MIT licensed language models, ranked by price

The catalog lists 9 MIT licensed language models, from DeepSeek R1 Distill Qwen 1.5B at $0.18 per million input tokens to DeepSeek’s reasoning line. MIT is the most permissive common license: use, modify, fine-tune, and redistribute, commercially, with attribution as the only obligation.

01
DeepSeek · 128K context · $0.18 in / $0.18 out per M tokens · MIT
02
Zai Org · 128K context · $0.20 in / $1.10 out per M tokens · MIT
03
Z.ai · 128K context · $0.20 in / $1.10 out per M tokens · MIT
04
DeepSeek · 128K context · $0.60 in / $1.70 out per M tokens · MIT
05
Zai Org · 198K context · $0.45 in / $2 out per M tokens · MIT
06
Zai Org · 198K context · $0.60 in / $2.20 out per M tokens · MIT
07
DeepSeek · 128K context · $1.60 in / $1.60 out per M tokens · MIT
08
DeepSeek · 128K context · $2 in / $2 out per M tokens · MIT
09
Deepseek · 160K context · $3 in / $7 out per M tokens · MIT

Provider list prices from the Allocate catalog, checked 2026-07-08. Billed price on Allocate is list plus the 7% transaction fee.

MIT in practice

MIT asks one thing: keep the license notice. There are no usage thresholds, no field-of-use limits, and no conditions on derivative weights, which makes it the simplest possible answer to a procurement review.

The list ranks by combined list price. The GLM 4.x line and DeepSeek’s open releases dominate it; both take fine-tuning well and serve at open-market prices.

Common questions

What does MIT allow?

Commercial use, modification, distribution, and private use, with attribution. Fine-tuned weights derived from an MIT base carry no conditions from the license.

What is the cheapest MIT model?

DeepSeek R1 Distill Qwen 1.5B at $0.18 per million input tokens at list.

Related

Every model here sits behind one key on Allocate: route by name, meter per route, and swap the model in one click.