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
41

Solar Pro 4

Upstage
Text & chatReasoningTool calling
$0.30 / $1.20524.3K tokensAPI only1.2View
42

DeepSeek V3.2

DeepSeek
Text & chatStructured JSON outputPrompt caching
$0.269 / $0.4163.8K tokensAPI only0.4View
43

Gemma 4 26B A4B

Google
Text & chatVisionVideo
$0.07 / $0.34262.1K tokensAPI only0.34View
44

Qwen3.7 Flash

Qwen
Text & chatVisionVideo
$0.03 / $0.131M tokensAPI only0.13View
45

Qwen3.8 Flash

Qwen
Text & chatVisionVideo
$0.15 / $0.471M tokensAPI only0.47View
46

Kimi K2.6

Moonshot AI
Text & chatVisionReasoning
$0.95 / $4262.1K tokensAPI only4View
47

Qwen3.5-Flash

Qwen
Text & chatVisionVideo
$0.065 / $0.261M tokensAPI only0.26View
48

Kimi K2.5

Moonshot AI
Text & chatVisionReasoning
$0.45 / $2.25262.1K tokensAPI only2.25View
49

Qwen3.6 35B A3B

Qwen
Text & chatVisionVideo
$0.1 / $0.9262.1K tokensAPI only0.9View
50

GLM 4.7

Z.ai
Text & chatStructured JSON outputPrompt caching
$0.4 / $1.75204.8K tokensAPI only1.75View
51

Qwen3.5-35B-A3B

Qwen
Text & chatVisionVideo
$0.3125 / $1.25262.1K tokensAPI only1.25View
52

GLM 5

Z.ai
Text & chatReasoningTool calling
$0.6 / $1.92204.8K tokensAPI only1.92View
53

Nemotron 3 Nano Omni

NVIDIA
Text & chatVisionAudio
$0 / $0256K tokensAPI only0View
54

Qwen3.5-9B

Qwen
Text & chatVisionVideo
$0.1 / $0.15262.1K tokensAPI only0.15View
55

Qwen3 VL 32B Instruct

Qwen
Text & chatVisionReasoning
$0.104 / $0.416131.1K tokensAPI only0.416View
56

MiniMax M2.5

MiniMax
Text & chatReasoningTool calling
$0.27 / $1.08204.8K tokensAPI only1.08View
57

Qwen3 VL 235B A22B Instruct

Qwen
Text & chatVisionReasoning
$0.21 / $1.9262.1K tokensAPI only1.9View
58

Qwen3.6 Plus

Qwen
Text & chatVisionVideo
$0.325 / $1.951M tokensAPI only1.95View
59

GLM 4.7 Flash

Z.ai
Text & chatVisionStructured JSON output
$0.0605 / $0.4202.8K tokensAPI only0.4View
60

Qwen3 VL 8B Instruct

Qwen
Text & chatVisionReasoning
$0.117 / $0.455262.1K tokensAPI only0.455View

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