Open-weight AI models: 88 you can run on your own hardware

Open weights
Services found: 88
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
21

Qwen3.5-122B-A10B

Qwen
Text & chatVisionVideo
$0.29 / $2.4262.1K tokensAPI only2.4View
22

Gemma 4 31B

Google
Text & chatVisionVideo
$0.09 / $0.34262.1K tokensAPI only0.34View
23

DeepSeek V3.1 Terminus

DeepSeek
Text & chatStructured JSON outputPrompt caching
$0.27 / $1163.8K tokensAPI only1View
24

Nemotron 3.5 Lightning

NVIDIA
Text & chatReasoningTool calling
$0.08 / $0.2262.1K tokensAPI only0.2View
25

Nemotron 3 Super

NVIDIA
Text & chatReasoningTool calling
$0.085 / $0.4262.1K tokensAPI only0.4View
26

Qwen3 Coder Next

Qwen
Text & chatCodingReasoning
$0.12 / $0.8262.1K tokensAPI only0.8View
27

Nemotron 3 Nano 30B A3B

NVIDIA
Text & chatReasoningTool calling
$0.05 / $0.2262.1K tokensAPI only0.2View
28

Solar Pro 3

Upstage
Text & chatReasoningTool calling
$0.15 / $0.6131.1K tokensAPI only0.6View
29

Ministral 3 14B 2512

Mistral AI
Text & chatVisionReasoning
$0.2 / $0.2262.1K tokensAPI only0.2View
30

Ministral 3 8B 2512

Mistral AI
Text & chatVisionReasoning
$0.15 / $0.15262.1K tokensAPI only0.15View
31

Ministral 3 3B 2512

Mistral AI
Text & chatVisionReasoning
$0.1 / $0.1131.1K tokensAPI only0.1View
32

DeepSeek V4 Pro

DeepSeek
Text & chatReasoningAdjustable thinking
1M tokensAPI onlyView
33

DeepSeek V4 Flash

DeepSeek
Text & chatVisionReasoning
1M tokensAPI onlyView
34

Phi-4 Mini Instruct

Microsoft
Text & chatReasoningTool calling
$0.075 / $0.30131.1K tokensAPI only0.3View
35

Phi-4 Reasoning

Microsoft
Text & chatReasoningTool calling
32.8K tokensAPI onlyView
36

Phi-4 Mini Reasoning

Microsoft
Text & chatReasoningTool calling
128K tokensAPI onlyView
37

Qwen3.8 Max

Alibaba
Text & chatReasoningAdjustable thinking
$2 / $61M tokensAPI only6View
38

Qwen3 VL Plus

Alibaba
Text & chatVisionReasoning
$0.2 / $1.6256K tokensAPI only1.6View
39

Qwen3 VL Flash

Alibaba
Text & chatVisionReasoning
$0.05 / $0.4256K tokensAPI only0.4View
40

GLM 5.2

Z.ai
Text & chatReasoningTool calling
$0.966 / $3.0361.05M tokensAPI only3.036View

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.

You own the runtimeSelf-host, fine-tune, run air-gapped — no per-token bill at all.
Licence is not uniformApache 2.0 and restrictive community terms both sit under this label.
Hosted first, then ownPrototype on an API, move to GPUs once volume justifies it.

Models with this capability

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.

Common mistakes

Self-hosting too earlyAt prototype volumes the GPUs cost more than the API ever would.
Assuming open means unrestrictedSeveral popular licences restrict commercial use above a size threshold.

Who this suits

Regulated industriesData that cannot leave the perimeter under any terms.
High steady volumeWhere per-token billing has become the largest line item.
ResearchReproducibility and the freedom to inspect and modify.

Frequently asked questions

Which families publish weights?

GLM, Qwen, DeepSeek, Kimi, Mistral Apache-licensed models, Gemma 4, Muse Glimmer 30B, Granite, EXAONE, Solar, Nemotron and Phi.

Is open weights the same as open source?

No. Licences range from Apache 2.0 to community terms with usage thresholds and naming requirements. Read before you build.

When does self-hosting pay off?

At steady high volume. Below that, hosted access from $0.18 per 1M output tokens is cheaper than the GPUs.

Do open models match the frontier?

Not yet on the hardest tasks. On routine work the gap is small and shrinking.

Can I fine-tune them?

Yes — that is the main practical advantage over closed models.

Frequently searched

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