# 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.

## Ranked list

1. **DeepSeek R1 Distill Qwen 1.5B**. DeepSeek · 128K context · $0.18 in / $0.18 out per M tokens · MIT. https://allocate.network/models/deepseek-deepseek-r1-distill-qwen-1-5b
2. **Glm 4.5 Air Fp8**. Zai Org · 128K context · $0.20 in / $1.10 out per M tokens · MIT. https://allocate.network/models/z-ai-glm-4-5-air-fp8
3. **GLM 4.5 Air**. Z.ai · 128K context · $0.20 in / $1.10 out per M tokens · MIT. https://allocate.network/models/z-ai-glm-4-5-air
4. **Deepseek V3.1 NVFP4**. DeepSeek · 128K context · $0.60 in / $1.70 out per M tokens · MIT. https://allocate.network/models/deepseek-deepseek-v3-1
5. **GLM 4.7 FP8**. Zai Org · 198K context · $0.45 in / $2 out per M tokens · MIT. https://allocate.network/models/z-ai-glm-4-7
6. **GLM 4.6 Fp8**. Zai Org · 198K context · $0.60 in / $2.20 out per M tokens · MIT. https://allocate.network/models/z-ai-glm-4-6
7. **DeepSeek R1 Distill Qwen 14B**. DeepSeek · 128K context · $1.60 in / $1.60 out per M tokens · MIT. https://allocate.network/models/deepseek-deepseek-r1-distill-qwen-14b
8. **DeepSeek R1 Distill Llama 70B**. DeepSeek · 128K context · $2 in / $2 out per M tokens · MIT. https://allocate.network/models/deepseek-deepseek-r1-distill-llama-70b
9. **DeepSeek R1 0528 NVFP4**. Deepseek · 160K context · $3 in / $7 out per M tokens · MIT. https://allocate.network/models/deepseek-deepseek-r1-0528

## Data table

| Rank | Model | Input | Output | Page |
| --- | --- | --- | --- | --- |
| 1 | DeepSeek R1 Distill Qwen 1.5B | $0.18 | $0.18 | https://allocate.network/models/deepseek-deepseek-r1-distill-qwen-1-5b.md |
| 2 | Glm 4.5 Air Fp8 | $0.20 | $1.10 | https://allocate.network/models/z-ai-glm-4-5-air-fp8.md |
| 3 | GLM 4.5 Air | $0.20 | $1.10 | https://allocate.network/models/z-ai-glm-4-5-air.md |
| 4 | Deepseek V3.1 NVFP4 | $0.60 | $1.70 | https://allocate.network/models/deepseek-deepseek-v3-1.md |
| 5 | GLM 4.7 FP8 | $0.45 | $2 | https://allocate.network/models/z-ai-glm-4-7.md |
| 6 | GLM 4.6 Fp8 | $0.60 | $2.20 | https://allocate.network/models/z-ai-glm-4-6.md |
| 7 | DeepSeek R1 Distill Qwen 14B | $1.60 | $1.60 | https://allocate.network/models/deepseek-deepseek-r1-distill-qwen-14b.md |
| 8 | DeepSeek R1 Distill Llama 70B | $2 | $2 | https://allocate.network/models/deepseek-deepseek-r1-distill-llama-70b.md |
| 9 | DeepSeek R1 0528 NVFP4 | $3 | $7 | https://allocate.network/models/deepseek-deepseek-r1-0528.md |

Provider list prices from the Allocate catalog, checked 2026-07-08. Billed price 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

- [Apache 2.0 licensed models](https://allocate.network/best/apache-2-licensed-models)
- [Best open models to fine-tune](https://allocate.network/best/open-models-for-fine-tuning)
- [What are model weights?](https://allocate.network/glossary/model-weights)

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[HTML page](https://allocate.network/best/mit-licensed-models) · [Machine-readable catalog](https://allocate.network/catalog.json)