Open-weight AI models: 88 you can run on your own hardware
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 21 | Qwen3.5-122B-A10B Qwen | $0.29 / $2.4 | 262.1K tokens | API only | 2.4 | View | ||
| 22 | Gemma 4 31B Google | $0.09 / $0.34 | 262.1K tokens | API only | 0.34 | View | ||
| 23 | DeepSeek V3.1 Terminus DeepSeek | $0.27 / $1 | 163.8K tokens | API only | 1 | View | ||
| 24 | Nemotron 3.5 Lightning NVIDIA | $0.08 / $0.2 | 262.1K tokens | API only | 0.2 | View | ||
| 25 | Nemotron 3 Super NVIDIA | $0.085 / $0.4 | 262.1K tokens | API only | 0.4 | View | ||
| 26 | Qwen3 Coder Next Qwen | $0.12 / $0.8 | 262.1K tokens | API only | 0.8 | View | ||
| 27 | Nemotron 3 Nano 30B A3B NVIDIA | $0.05 / $0.2 | 262.1K tokens | API only | 0.2 | View | ||
| 28 | Solar Pro 3 Upstage | $0.15 / $0.6 | 131.1K tokens | API only | 0.6 | View | ||
| 29 | Ministral 3 14B 2512 Mistral AI | $0.2 / $0.2 | 262.1K tokens | API only | 0.2 | View | ||
| 30 | Ministral 3 8B 2512 Mistral AI | $0.15 / $0.15 | 262.1K tokens | API only | 0.15 | View | ||
| 31 | Ministral 3 3B 2512 Mistral AI | $0.1 / $0.1 | 131.1K tokens | API only | 0.1 | View | ||
| 32 | DeepSeek V4 Pro DeepSeek | 1M tokens | API only | View | ||||
| 33 | DeepSeek V4 Flash DeepSeek | 1M tokens | API only | View | ||||
| 34 | Phi-4 Mini Instruct Microsoft | $0.075 / $0.30 | 131.1K tokens | API only | 0.3 | View | ||
| 35 | Phi-4 Reasoning Microsoft | 32.8K tokens | API only | View | ||||
| 36 | Phi-4 Mini Reasoning Microsoft | 128K tokens | API only | View | ||||
| 37 | Qwen3.8 Max Alibaba | $2 / $6 | 1M tokens | API only | 6 | View | ||
| 38 | Qwen3 VL Plus Alibaba | $0.2 / $1.6 | 256K tokens | API only | 1.6 | View | ||
| 39 | Qwen3 VL Flash Alibaba | $0.05 / $0.4 | 256K tokens | API only | 0.4 | View | ||
| 40 | GLM 5.2 Z.ai | $0.966 / $3.036 | 1.05M tokens | API only | 3.036 | View |
Browse by need
Ninety-four models in this rating publish downloadable weights, so you can run them on your own hardware, fine-tune on your own data and stop paying per token. The families to know: GLM, Qwen, DeepSeek, Kimi, Mistral Apache-licensed range, Gemma 4, Muse Glimmer 30B, Granite, EXAONE, Solar, Nemotron and Phi.
Hosted access still exists for most of them at $0.18 to $15 per million output tokens, so you can prototype against an API and move to self-hosting once volume justifies the GPUs. Read the licence before you plan: open weights covers everything from Apache 2.0 to community licences with usage thresholds and naming requirements.
Models with this capability
The 88 models below all support this capability. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Read the licence for usage thresholds, naming requirements and field-of-use limits.
- Compare total cost honestly: GPUs, ops and idle capacity against per-token rates.
- Check whether the published weights match the hosted version you tested.
- Plan for updates — self-hosted models do not improve on their own.
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