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 |
|---|---|---|---|---|---|---|---|---|
| 41 | Solar Pro 4 Upstage | $0.30 / $1.20 | 524.3K tokens | API only | 1.2 | View | ||
| 42 | DeepSeek V3.2 DeepSeek | $0.269 / $0.4 | 163.8K tokens | API only | 0.4 | View | ||
| 43 | Gemma 4 26B A4B Google | $0.07 / $0.34 | 262.1K tokens | API only | 0.34 | View | ||
| 44 | Qwen3.7 Flash Qwen | $0.03 / $0.13 | 1M tokens | API only | 0.13 | View | ||
| 45 | Qwen3.8 Flash Qwen | $0.15 / $0.47 | 1M tokens | API only | 0.47 | View | ||
| 46 | Kimi K2.6 Moonshot AI | $0.95 / $4 | 262.1K tokens | API only | 4 | View | ||
| 47 | Qwen3.5-Flash Qwen | $0.065 / $0.26 | 1M tokens | API only | 0.26 | View | ||
| 48 | Kimi K2.5 Moonshot AI | $0.45 / $2.25 | 262.1K tokens | API only | 2.25 | View | ||
| 49 | Qwen3.6 35B A3B Qwen | $0.1 / $0.9 | 262.1K tokens | API only | 0.9 | View | ||
| 50 | GLM 4.7 Z.ai | $0.4 / $1.75 | 204.8K tokens | API only | 1.75 | View | ||
| 51 | Qwen3.5-35B-A3B Qwen | $0.3125 / $1.25 | 262.1K tokens | API only | 1.25 | View | ||
| 52 | GLM 5 Z.ai | $0.6 / $1.92 | 204.8K tokens | API only | 1.92 | View | ||
| 53 | Nemotron 3 Nano Omni NVIDIA | $0 / $0 | 256K tokens | API only | 0 | View | ||
| 54 | Qwen3.5-9B Qwen | $0.1 / $0.15 | 262.1K tokens | API only | 0.15 | View | ||
| 55 | Qwen3 VL 32B Instruct Qwen | $0.104 / $0.416 | 131.1K tokens | API only | 0.416 | View | ||
| 56 | MiniMax M2.5 MiniMax | $0.27 / $1.08 | 204.8K tokens | API only | 1.08 | View | ||
| 57 | Qwen3 VL 235B A22B Instruct Qwen | $0.21 / $1.9 | 262.1K tokens | API only | 1.9 | View | ||
| 58 | Qwen3.6 Plus Qwen | $0.325 / $1.95 | 1M tokens | API only | 1.95 | View | ||
| 59 | GLM 4.7 Flash Z.ai | $0.0605 / $0.4 | 202.8K tokens | API only | 0.4 | View | ||
| 60 | Qwen3 VL 8B Instruct Qwen | $0.117 / $0.455 | 262.1K tokens | API only | 0.455 | 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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