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
61

GLM 4.6

Z.ai
Text & chatStructured JSON outputPrompt caching
$0.43 / $1.75204.8K tokensAPI only1.75View
62

Qwen3.6 Flash

Qwen
Text & chatVisionVideo
$0.1875 / $1.1251M tokensAPI only1.125View
63

Qwen3.5-27B

Qwen
Text & chatVisionVideo
$0.195 / $1.56262.1K tokensAPI only1.56View
64

Muse Glimmer 30B

Meta
Text & chatVisionAgentic workflows
$0.3 / $1.1131.1K tokensAPI only1.1View
65

Qwen3 Next 80B A3B Instruct

Qwen
Text & chatReasoningAdjustable thinking
$0.09 / $1.1262.1K tokensAPI only1.1View
66

Qwen3 VL 30B A3B Instruct

Qwen
Text & chatVisionReasoning
$0.15 / $0.6262.1K tokensAPI only0.6View
67

gpt-oss-safeguard-20b

OpenAI
Text & chatStructured JSON outputCode execution
$0.075 / $0.3131.1K tokensAPI only0.3View
68

GLM 5V Turbo

Z.ai
Text & chatVisionVideo
$1.2 / $4202.8K tokensAPI only4View
69

Qwen3 Max

Qwen
Text & chatReasoningAdjustable thinking
$0.78 / $3.9262.1K tokensAPI only3.9View
70

Qwen3 Coder Flash

Qwen
Text & chatVisionCoding
$0.195 / $0.9751M tokensAPI only0.975View
71

GLM 5 Turbo

Z.ai
Text & chatReasoningTool calling
$1.2 / $4202.8K tokensAPI only4View
72

Kimi K2 Thinking

Moonshot AI
Text & chatReasoningTool calling
$0.6 / $2.5262.1K tokensAPI only2.5View
73

Qwen3.5 Plus 2026-02-15

Qwen
Text & chatVisionVideo
$0.26 / $1.561M tokensAPI only1.56View
74

Qwen3.5 Plus 2026-04-20

Qwen
Text & chatVisionVideo
$0.3 / $1.81M tokensAPI only1.8View
75

Granite 4.0 Micro

IBM
Text & chatReasoningTool calling
$0.017 / $0.112131K tokensAPI only0.112View
76

Qwen3 Coder Plus

Qwen
Text & chatCodingReasoning
$0.65 / $3.251M tokensAPI only3.25View
77

Granite 4.2 8B

IBM
Text & chatReasoningTool calling
$0.06 / $0.25131.1K tokensAPI only0.25View
78

Nemotron 3.5 Content Safety

NVIDIA
Text & chatVisionReasoning
$0.2 / $0.2131.1K tokensAPI only0.2View
79

GLM 4.6V

Z.ai
Text & chatVisionVideo
$0.3 / $0.9131.1K tokensAPI only0.9View
80

MiniMax M2.1

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

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

Ratings 1

Avg. score 5

Rate this page

Help us improve