Open models
Every canonical model whose weights can be downloaded, described by measurable properties — licence permissions, parameters, context, release, benchmark ranks, providers, estimated local fit. Openness is a set of observed dimensions here, never a score.
889 downloadable models
Openness explorer
Categories and licence permissions
Left: the downloadable universe by openness category. Right: what the licences on this page allow, counted per category — allowed · restricted · unknown.
- Open source1 0%
- Open weights889 87%
- Restricted weights129 13%
Top licences: Apache License 2.0 (311) · MIT License (125) · Other (unclassified licence) (83) · Creative Commons Attribution-NonCommercial 4.0 (24) · Apple Sample Code / ML Research License (15) · Llama 3.2 Community License (12)
| Category · this page | Commercial use | Redistribution | Derivatives | Hosting |
|---|---|---|---|---|
| Open source n=0 | — | — | — | — |
| Open weights n=50 | 13037 | 13037 | 13037 | 12038 |
| restricted-weights n=0 | — | — | — | — |
Counts read: allowed · restricted · unknown / unclassified — over the 50 models on this page, from each licence's stated terms (ontology).
Downloadable models
889 models · sorted by best benchmark rank
Permissions, in order:commercial use· redistribution· derivatives· hosting allowed restricted unknown
| Model | Licence · permissions | Params | Context | Release | Best results | Providers | Fit 64 GB @4bit · 128 GB @8bit Estimated | |
|---|---|---|---|---|---|---|---|---|
| Step 3.5 FlashOpen weightsStepFun · text | Apache-2.0 | 199.4B | 262.1K | 1 Feb 2026 | tau2-bench#28terminal-bench#74ifbench#83 | 1from $0.30 out | ✗ too large115.1 GB4bit✗ too large229.8 GB8bit | |
| deepseek-v4-flash-0420-non-reasoningOpen weightsDeepSeek | —unclassified | — | 1M | — | tau2-bench#28terminal-bench#67artificial-analysis-intelligence-index#131 | 0 | —— | |
| Mistral Medium 3.5Open weightsMistral AI · document, image, text | MIT-Modified | — | 256K | 30 Apr 2026 | tau2-bench#31ifbench#69terminal-bench#70 | 2from $3.75 out | —— | |
| Qwen3.6 27BOpen weightsQwen · image, text, video | Apache-2.0 | 27.8B | 262.1K | 21 Apr 2026 | tau2-bench#31livebench-data-analysis#42livebench-coding#46 | 2from $2 out | ✓ fits16.5 GB4bit✓ fits32.5 GB8bit | |
| deepseek-v4-flashOpen weightsDeepSeek | —unclassified | — | 1M | — | artificial-analysis-intelligence-index#31gpqa-diamond#35scicode#36 | 0 | —— | |
| deepseek-v4-pro-0424-highOpen weightsDeepSeek | —unclassified | — | 1M | — | tau2-bench#31terminal-bench#33gpqa-diamond#37 | 0 | —— | |
| MiMo-V2.5Open weightsXiaomi · audio, image, text, video | MIT | 310.8B | 1.05M | 27 Apr 2026 | terminal-bench#33mmmu-pro#40tau2-bench#54 | 1from $0.28 out | ✗ too large179.2 GB4bit✗ too large357.9 GB8bit | |
| command-a-plusOpen weightsCohere | —unclassified | — | 192K | — | ifbench#35scicode#89tau2-bench#97 | 0 | —— | |
| gpt-oss-120bOpen weightsOpenAI · text | Apache-2.0 | 116.8B | 131.1K | 4 Aug 2025 | swe-bench-verified#36aider-polyglot#36aider-polyglot-well-formed#58 | 5from $0.17 out | ✗ too large67.7 GB4bit✗ too large134.8 GB8bit | |
| motif-3Open weightsMotif Technologies | —unclassified | — | 262.1K | — | artificial-analysis-intelligence-index#36humanitys-last-exam#47scicode#72 | 0 | —— | |
| Qwen3 32BOpen weightsQwen · text | Apache-2.0 | 32.8B | 131.1K | 27 Apr 2025 | aider-polyglot#37aider-polyglot-well-formed#57scicode#100 | 1from $0.28 out | ✓ fits19.3 GB4bit✓ fits38.2 GB8bit | |
| gemma-4-12BOpen weightsGoogle | —unclassified | — | 256K | — | ifbench#37mmmu-pro#72terminal-bench#127 | 0 | —— | |
| mimo-v2-0206Open weightsXiaomi | —unclassified | — | 256K | — | tau2-bench#38ifbench#49terminal-bench#79 | 0 | —— | |
| tri-21b-think-previewOpen weightsTrillion Labs | —unclassified | — | 32K | — | tau2-bench#38ifbench#159terminal-bench#240 | 0 | —— | |
| Inkling SmallOpen weightsThinking Machines · audio, image, text | —unclassified | — | 1.05M | 30 Jul 2026 | scicode#39gpqa-diamond#50mmmu-pro#55 | 1from $1.2 out | —— | |
| Hy3Open weightsTencent · text | Apache-2.0 | 298.8B | 262.1K | 2 Jul 2026 | scicode#43gpqa-diamond#47humanitys-last-exam#65 | 1from $0.528 out | ✗ too large172.3 GB4bit✗ too large344.1 GB8bit | |
| k2-horizon-375b-a23bOpen weightsMBZUAI Institute of Foundation Models | —unclassified | — | 524.3K | — | artificial-analysis-intelligence-index#43humanitys-last-exam#68scicode#68 | 0 | —— | |
| Hy3 previewOpen weightsTencent · text | Other | 298.8B | 262.1K | 13 Apr 2026 | tau2-bench#45terminal-bench#67gpqa-diamond#75 | 1from $0.60 out | ✗ too large172.3 GB4bit✗ too large344.1 GB8bit | |
| Qwen3.5-35B-A3BOpen weightsQwen · image, text, video | —unclassified | — | 262.1K | 25 Feb 2026 | ifbench#45tau2-bench#62mmmu-pro#66 | 1from $1.25 out | —— | |
| Gemma 4 26B A4BOpen weightsGoogle · image, text, video | Apache-2.0 | 25.8B4B active | 262.1K | 11 Mar 2026 | ifbench#46mmmu-pro#73terminal-bench#100 | 2from $0.22 out | ✓ fits15.3 GB4bit✓ fits30.2 GB8bit | |
| solar-open2-250bOpen weightsUpstage · text | Other | 250.3B | 1.05M | 22 Jul 2026 | scicode#46humanitys-last-exam#82artificial-analysis-intelligence-index#84 | 0 | ✗ too large144.4 GB4bit✗ too large288.3 GB8bit | |
| ring-2-6-1tOpen weightsinclusionAI | —unclassified | — | 262.1K | — | tau2-bench#47scicode#58gpqa-diamond#86 | 0 | —— | |
| Qwen3.5-4BOpen weightsQwen · image, text | Apache-2.0 | 4.66B | 262.1K | 27 Feb 2026 | tau2-bench#48mmmu-pro#85terminal-bench#127 | 0 | ✓ fits3.2 GB4bit✓ fits5.9 GB8bit | |
| QwQ-32BOpen weightsAlibaba Group · text | Apache-2.0 | 32B | 131.1K | 6 Mar 2025 | aider-polyglot#49aider-polyglot-well-formed#60ifbench#211 | 0 | ✓ fits18.9 GB4bit✓ fits37.3 GB8bit | |
| Nemotron 3 SuperOpen weightsNVIDIA · text | —unclassified | — | 262.1K | 11 Mar 2026 | ifbench#51terminal-bench#88scicode#98 | 2from $0.40 out | —— | |
| deepseek-v4-pro-0424-non-reasoningOpen weightsDeepSeek | —unclassified | — | 1M | — | terminal-bench#51tau2-bench#52artificial-analysis-intelligence-index#117 | 0 | —— | |
| Muse Glimmer 30BOpen weightsMeta AI · image, text | —unclassified | — | 131.1K | 9 Aug 2026 | mmmu-pro#53scicode#59humanitys-last-exam#114 | 3from $0.75 out | —— | |
| DeepSeek V3Open weightsDeepSeek · text | —unclassified | 684.5B | 163.8K | 25 Dec 2024 | terminal-bench#54humanitys-last-exam#99scicode#102 | 2from $1.03 out | ✗ too large394.1 GB4bit✗ too large787.7 GB8bit | |
| nex-n2-proOpen weightsNex AGI | —unclassified | — | 262K | — | artificial-analysis-intelligence-index#55gpqa-diamond#55humanitys-last-exam#60 | 0 | —— | |
| Trinity Large ThinkingOpen weightsArcee AI · text | —unclassified | — | 262.1K | 1 Apr 2026 | tau2-bench#57scicode#79terminal-bench#113 | 1from $0.80 out | —— | |
| agnes-2-5-pro-alphaOpen weightsSapiens AI | —unclassified | — | 1M | — | artificial-analysis-intelligence-index#59humanitys-last-exam#63gpqa-diamond#64 | 0 | —— | |
| deepseek-v3-2-specialeOpen weightsDeepSeek | —unclassified | — | 128K | — | terminal-bench#59gpqa-diamond#71humanitys-last-exam#81 | 0 | —— | |
| ling-2-6-1tOpen weightsinclusionAI | —unclassified | — | 262.1K | — | tau2-bench#59terminal-bench#79ifbench#119 | 0 | —— | |
| LongCat 2.0Open weightsMeituan · text | —unclassified | — | 1.05M | 20 Jul 2026 | humanitys-last-exam#61scicode#97artificial-analysis-intelligence-index#126 | 1from $1.2 out | —— | |
| MiniMax M2.1Open weightsMiniMax · text | Other | 228.7B | 204.8K | 20 Dec 2025 | ifbench#64tau2-bench#81terminal-bench#88 | 2from $1.2 out | ✗ too large132.0 GB4bit✗ too large263.5 GB8bit | |
| apriel-v1-6-15b-thinkerOpen weightsServiceNow | —unclassified | — | 128K | — | ifbench#66tau2-bench#118terminal-bench#148 | 0 | —— | |
| minicpm-v4-6-1-3bOpen weightsOpenBMB | —unclassified | — | 262K | — | tau2-bench#68mmmu-pro#145terminal-bench#279 | 0 | —— | |
| hyperclova-x-seed-think-32bOpen weightsNaver | —unclassified | — | 128K | — | tau2-bench#69terminal-bench#158artificial-analysis-intelligence-index#216 | 0 | —— | |
| Qwen3.5-9BOpen weightsQwen · image, text, video | Apache-2.0 | 9.65B | 262.1K | 27 Feb 2026 | tau2-bench#72mmmu-pro#73ifbench#81 | 2from $0.15 out | ✓ fits6.0 GB4bit✓ fits11.6 GB8bit | |
| Ling 3.0 FlashOpen weightsinclusionAI · text | MIT | 127.5B | 262.1K | 2 Aug 2026 | scicode#74artificial-analysis-intelligence-index#79gpqa-diamond#91 | 1from $0.063 out | ✗ too large73.8 GB4bit✗ too large147.1 GB8bit | |
| k-exaone-2-0-0803Open weightsLG AI Research | —unclassified | — | 262.1K | — | scicode#74gpqa-diamond#120artificial-analysis-intelligence-index#126 | 0 | —— | |
| Qwen3 235B A22B Instruct 2507Open weightsQwen · text | —unclassified | — | 262.1K | 21 Jul 2025 | scicode#76tau2-bench#139ifbench#143 | 1from $0.35 out | —— | |
| DeepSeek V3.1 TerminusOpen weightsDeepSeek · text | —unclassified | — | 163.8K | 22 Sept 2025 | terminal-bench#77scicode#91ifbench#117 | 2from $1 out | —— | |
| a-x-k2Open weightsSK Telecom | —unclassified | — | 262.1K | — | humanitys-last-exam#77scicode#78gpqa-diamond#86 | 0 | —— | |
| DeepSeek V3.2 ExpOpen weightsDeepSeek · text | —unclassified | — | 163.8K | 29 Sept 2025 | terminal-bench#79ifbench#129gpqa-diamond#142 | 2from $0.41 out | —— | |
| North Mini Code (free)Open weightsCohere · text | Apache-2.0 | 30.5B | 256K | 5 Jun 2026 | terminal-bench#79scicode#87ifbench#114 | 2 | ✓ fits18.0 GB4bit✓ fits35.5 GB8bit | |
| Qwen3 VL 235B A22B InstructOpen weightsQwen · image, text | —unclassified | — | 262.1K | 23 Sept 2025 | mmmu-pro#79ifbench#121tau2-bench#137 | 1from $1.9 out | —— | |
| ling-2-6-flashOpen weightsinclusionAI | —unclassified | — | 262.1K | — | tau2-bench#79ifbench#115terminal-bench#117 | 0 | —— | |
| exaone-4-5-33bOpen weightsLG AI Research · image, text | Other | 34.4B | 262.1K | 4 Apr 2026 | mmmu-pro#83tau2-bench#105ifbench#111 | 0 | ✓ fits20.3 GB4bit✓ fits40.0 GB8bit | |
| diffusiongemma-26b-a4bOpen weightsGoogle | —unclassified | — | 256K | — | mmmu-pro#84ifbench#107humanitys-last-exam#190 | 0 | —— |
Best results = rank inside each benchmark's primary comparability group; several dimensions are shown side by side and never combined. Fit columns are estimates (64 GB device at 4-bit, 128 GB at 8-bit, 8K context) — method on /methodology. unclassified = the raw licence label is not yet mapped in the ontology.
MethodUniverse = canonical models whose weights can be downloaded (open-weights, open-source, restricted-weights). hardware_fit values are ESTIMATES (see /methodology); best_results are ranks inside each benchmark's primary comparability group — no composite score. /methodology