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 |
|---|---|---|---|---|---|---|---|---|
| 61 | GLM 4.6 Z.ai | $0.43 / $1.75 | 204.8K tokens | API only | 1.75 | View | ||
| 62 | Qwen3.6 Flash Qwen | $0.1875 / $1.125 | 1M tokens | API only | 1.125 | View | ||
| 63 | Qwen3.5-27B Qwen | $0.195 / $1.56 | 262.1K tokens | API only | 1.56 | View | ||
| 64 | Muse Glimmer 30B Meta | $0.3 / $1.1 | 131.1K tokens | API only | 1.1 | View | ||
| 65 | Qwen3 Next 80B A3B Instruct Qwen | $0.09 / $1.1 | 262.1K tokens | API only | 1.1 | View | ||
| 66 | Qwen3 VL 30B A3B Instruct Qwen | $0.15 / $0.6 | 262.1K tokens | API only | 0.6 | View | ||
| 67 | gpt-oss-safeguard-20b OpenAI | $0.075 / $0.3 | 131.1K tokens | API only | 0.3 | View | ||
| 68 | GLM 5V Turbo Z.ai | $1.2 / $4 | 202.8K tokens | API only | 4 | View | ||
| 69 | Qwen3 Max Qwen | $0.78 / $3.9 | 262.1K tokens | API only | 3.9 | View | ||
| 70 | Qwen3 Coder Flash Qwen | $0.195 / $0.975 | 1M tokens | API only | 0.975 | View | ||
| 71 | GLM 5 Turbo Z.ai | $1.2 / $4 | 202.8K tokens | API only | 4 | View | ||
| 72 | Kimi K2 Thinking Moonshot AI | $0.6 / $2.5 | 262.1K tokens | API only | 2.5 | View | ||
| 73 | Qwen3.5 Plus 2026-02-15 Qwen | $0.26 / $1.56 | 1M tokens | API only | 1.56 | View | ||
| 74 | Qwen3.5 Plus 2026-04-20 Qwen | $0.3 / $1.8 | 1M tokens | API only | 1.8 | View | ||
| 75 | Granite 4.0 Micro IBM | $0.017 / $0.112 | 131K tokens | API only | 0.112 | View | ||
| 76 | Qwen3 Coder Plus Qwen | $0.65 / $3.25 | 1M tokens | API only | 3.25 | View | ||
| 77 | Granite 4.2 8B IBM | $0.06 / $0.25 | 131.1K tokens | API only | 0.25 | View | ||
| 78 | Nemotron 3.5 Content Safety NVIDIA | $0.2 / $0.2 | 131.1K tokens | API only | 0.2 | View | ||
| 79 | GLM 4.6V Z.ai | $0.3 / $0.9 | 131.1K tokens | API only | 0.9 | View | ||
| 80 | MiniMax M2.1 MiniMax | $0.3 / $1.2 | 204.8K tokens | API only | 1.2 | 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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