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
1

DeepSeek V4.1 Flash

DeepSeek
Text & chatVisionReasoning
$0.3 / $1.21M tokensAPI only1.2View
2

GLM 5.3

Z.ai
Text & chatReasoningTool calling
$1.4 / $4.41.31M tokensAPI only4.4View
3

Kimi K3

Moonshot AI
Text & chatVisionVideo
$3 / $151.05M tokensAPI only15View
4

GLM 5.3 Flash

Z.ai
Text & chatVisionVideo
$0.075 / $0.251.31M tokensAPI only0.25View
5

Qwen3.8 Max (0902)

Qwen
Text & chatVisionVideo
$2 / $61M tokensAPI only6View
6

Qwen3.8 2.4T A95B

Qwen
Text & chatReasoningAdjustable thinking
$2 / $61.05M tokensAPI only6View
7

DeepSeek V4 Pro 0813

DeepSeek
Text & chatReasoningAdjustable thinking
$1.0494 / $3.14821.05M tokensAPI only3.148View
8

DeepSeek V4 Flash 0731

DeepSeek
Text & chatVisionReasoning
$0.065 / $0.181.31M tokensAPI only0.18View
9

Qwen3.8 27B

Qwen
Text & chatVisionVideo
$0.42 / $31M tokensAPI only3View
10

DeepSeek V4 Pro 0423

DeepSeek
Text & chatReasoningAdjustable thinking
$0.95526 / $1.910521.05M tokensAPI only1.911View
11

Qwen3.7 Max

Qwen
Text & chatReasoningAdjustable thinking
$2.5 / $7.51M tokensAPI only7.5View
12

MiniMax M3

MiniMax
Text & chatVisionVideo
$0.3 / $1.21.05M tokensAPI only1.2View
13

GLM-5.1

Z.ai
Text & chatReasoningTool calling
$1.4 / $4.4200K tokensAPI only4.4View
14

Kimi K2.7 Code

Moonshot AI
Text & chatVisionCoding
$0.71 / $3.5262.1K tokensAPI only3.5View
15

Qwen3.7 Plus

Qwen
Text & chatVisionReasoning
$0.32 / $1.281M tokensAPI only1.28View
16

DeepSeek V4 Flash 0423

DeepSeek
Text & chatVisionReasoning
$0.088606 / $0.1772121.05M tokensAPI only0.177View
17

Nemotron 3 Ultra

NVIDIA
Text & chatReasoningTool calling
$0.625 / $3.125262.1K tokensAPI only3.125View
18

MiniMax M2.7

MiniMax
Text & chatReasoningTool calling
$0.3 / $1.2204.8K tokensAPI only1.2View
19

Qwen3.6 27B

Qwen
Text & chatVisionVideo
$0.3 / $2262.1K tokensAPI only2View
20

Qwen3.5 397B A17B

Qwen
Text & chatVisionVideo
$0.55 / $3.5262.1K tokensAPI only3.5View

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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