# Apache 2.0 licensed language models, ranked by price

The catalog lists 17 Apache 2.0 licensed language models. The cheapest is OpenAI GPT-OSS 20B at $0.05 per million input tokens; the strongest large bases include Qwen 3.5 (397B MoE) and Qwen3 235B. Apache 2.0 permits commercial use, modification, and fine-tuning with no strings on the output.

## Ranked list

1. **OpenAI GPT-OSS 20B**. OpenAI · 128K context · $0.05 in / $0.20 out per M tokens · Apache 2.0. https://allocate.network/models/openai-gpt-oss-20b
2. **Ministral 3 14B Instruct 2512**. Mistralai · 256K context · $0.20 in / $0.20 out per M tokens · Apache 2.0. https://allocate.network/models/mistral-ministral-3-14b-instruct-2512
3. **Mistral (7B) Instruct v0.1**. mistralai · 32K context · $0.20 in / $0.20 out per M tokens · Apache 2.0. https://allocate.network/models/mistral-mistral-7b-instruct-v0-1
4. **Mistral (7B) Instruct v0.3**. mistralai · 32K context · $0.20 in / $0.20 out per M tokens · Apache 2.0. https://allocate.network/models/mistral-mistral-7b-instruct-v0-3
5. **Mistral Small (24B) Instruct 25.01**. mistralai · 32K context · $0.10 in / $0.30 out per M tokens · Apache 2.0. https://allocate.network/models/mistral-mistral-small-24b-instruct-2501
6. **Qwen3 235B A22B Instruct 2507 FP8 Throughput**. Qwen · 256K context · $0.20 in / $0.60 out per M tokens · Apache 2.0. https://allocate.network/models/qwen-qwen3-235b-a22b-instruct-2507-tput
7. **Qwen3-VL-8B-Instruct**. Qwen · 256K context · $0.18 in / $0.68 out per M tokens · Apache 2.0. https://allocate.network/models/qwen-qwen3-vl-8b-instruct
8. **Mixtral-8x7B Instruct v0.1**. mistralai · 32K context · $0.60 in / $0.60 out per M tokens · Apache 2.0. https://allocate.network/models/mistral-mixtral-8x7b-instruct-v0-1
9. **Nous Hermes 2 Mixtral 8X7B Dpo**. Nousresearch · 32K context · $0.60 in / $0.60 out per M tokens · Apache 2.0. https://allocate.network/models/nous-nous-hermes-2-mixtral-8x7b-dpo
10. **Gemma 4 31B-it FP8**. Google · 256K context · $0.39 in / $0.97 out per M tokens · Apache 2.0. https://allocate.network/models/google-gemma-4-31b-it
11. **Qwen 2.5 14B Instruct**. Qwen · 32K context · $0.80 in / $0.80 out per M tokens · Apache 2.0. https://allocate.network/models/qwen-qwen2-5-14b-instruct
12. **Qwen3 Next 80B A3b Instruct**. Qwen · 256K context · $0.15 in / $1.50 out per M tokens · Apache 2.0. https://allocate.network/models/qwen-qwen3-next-80b-a3b-instruct

## Data table

| Rank | Model | Input | Output | Page |
| --- | --- | --- | --- | --- |
| 1 | OpenAI GPT-OSS 20B | $0.05 | $0.20 | https://allocate.network/models/openai-gpt-oss-20b.md |
| 2 | Ministral 3 14B Instruct 2512 | $0.20 | $0.20 | https://allocate.network/models/mistral-ministral-3-14b-instruct-2512.md |
| 3 | Mistral (7B) Instruct v0.1 | $0.20 | $0.20 | https://allocate.network/models/mistral-mistral-7b-instruct-v0-1.md |
| 4 | Mistral (7B) Instruct v0.3 | $0.20 | $0.20 | https://allocate.network/models/mistral-mistral-7b-instruct-v0-3.md |
| 5 | Mistral Small (24B) Instruct 25.01 | $0.10 | $0.30 | https://allocate.network/models/mistral-mistral-small-24b-instruct-2501.md |
| 6 | Qwen3 235B A22B Instruct 2507 FP8 Throughput | $0.20 | $0.60 | https://allocate.network/models/qwen-qwen3-235b-a22b-instruct-2507-tput.md |
| 7 | Qwen3-VL-8B-Instruct | $0.18 | $0.68 | https://allocate.network/models/qwen-qwen3-vl-8b-instruct.md |
| 8 | Mixtral-8x7B Instruct v0.1 | $0.60 | $0.60 | https://allocate.network/models/mistral-mixtral-8x7b-instruct-v0-1.md |
| 9 | Nous Hermes 2 Mixtral 8X7B Dpo | $0.60 | $0.60 | https://allocate.network/models/nous-nous-hermes-2-mixtral-8x7b-dpo.md |
| 10 | Gemma 4 31B-it FP8 | $0.39 | $0.97 | https://allocate.network/models/google-gemma-4-31b-it.md |
| 11 | Qwen 2.5 14B Instruct | $0.80 | $0.80 | https://allocate.network/models/qwen-qwen2-5-14b-instruct.md |
| 12 | Qwen3 Next 80B A3b Instruct | $0.15 | $1.50 | https://allocate.network/models/qwen-qwen3-next-80b-a3b-instruct.md |

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

## Why the license leads the decision

Apache 2.0 is the license legal teams approve fastest: commercial use, modification, redistribution, and a patent grant, with no usage thresholds or field-of-use conditions. If you plan to fine-tune and own the result, starting from this list removes a whole category of review.

Ranking is by combined input and output list price. Capability does not rank neatly, so pick the size class your task needs and test: small models for classification and extraction, the large MoE bases for reasoning and generation.

## Common questions

### Can I fine-tune Apache 2.0 models commercially?

Yes. Apache 2.0 permits commercial use, modification, and distribution, with an explicit patent grant. Fine-tuned weights are yours; on Allocate they stay inside your isolation boundary.

### What is the cheapest Apache 2.0 model?

OpenAI GPT-OSS 20B at $0.05 per million input tokens at list. On Allocate you pay list plus the 7% transaction fee.

## Related

- [MIT licensed models](https://allocate.network/best/mit-licensed-models)
- [Open models for commercial fine-tuning](https://allocate.network/best/open-models-you-can-fine-tune-commercially)
- [Best open-weight models](https://allocate.network/best/open-weight-models)
- [What are open weights?](https://allocate.network/glossary/open-weights)

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[HTML page](https://allocate.network/best/apache-2-licensed-models) · [Machine-readable catalog](https://allocate.network/catalog.json)