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 | 29120 | 30020 | 30020 | 29120 |
| 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 | |
|---|---|---|---|---|---|---|---|---|
| Ming-flash-omni-2.0Open weightsinclusionAI | MIT | 104.2B | — | 10 Feb 2026 | — | 0 | ✓ fits60.4 GB4bit✓ fits120.4 GB8bit | |
| Ming-omni-tts-0.5BOpen weightsinclusionAI · audio, text | Apache-2.0 | 1.62B | — | 11 Feb 2026 | — | 0 | ✓ fits1.4 GB4bit✓ fits2.4 GB8bit | |
| MiniMax-01Open weightsMiniMax · text | —unclassified | 456.1B | 1M | 12 Jan 2025 | — | 2from $1.1 out | ✗ too large262.8 GB4bit✗ too large525.0 GB8bit | |
| MiniMax-H3Open weightsMiniMax · image, text, video | Other | 33.1B | — | 28 Jul 2026 | — | 0 | ✓ fits19.5 GB4bit✓ fits38.6 GB8bit | |
| MiniMax-M1-40k-hfOpen weightsMiniMax · text | Apache-2.0 | 456.1B | — | 1 Jul 2025 | — | 0 | ✗ too large262.8 GB4bit✗ too large525.0 GB8bit | |
| MiniMax-M1-80k-hfOpen weightsMiniMax · text | Apache-2.0 | 456.1B | — | 1 Jul 2025 | — | 0 | ✗ too large262.8 GB4bit✗ too large525.0 GB8bit | |
| MiniMax-Music3Open weightsMiniMax · audio, text | —unclassified | 2.43B | — | 7 Aug 2026 | — | 0 | ✓ fits1.9 GB4bit✓ fits3.3 GB8bit | |
| MiniMax-Text-01-hfOpen weightsMiniMax · text | Other | 456.1B | — | 3 Jun 2025 | — | 0 | ✗ too large262.8 GB4bit✗ too large525.0 GB8bit | |
| MiniMax-VL-01Open weightsMiniMax · image, text | —unclassified | 456.4B | — | 12 Jan 2025 | — | 0 | ✗ too large262.9 GB4bit✗ too large525.4 GB8bit | |
| Ministral 3 14B 2512Open weightsMistral AI · image, text | Apache-2.0 | 13.9B | 262.1K | 31 Oct 2025 | — | 2from $0.20 out | ✓ fits8.5 GB4bit✓ fits16.5 GB8bit | |
| Ministral 3 3B 2512Open weightsMistral AI · image, text | Apache-2.0 | 3.85B | 131.1K | 31 Oct 2025 | — | 2from $0.10 out | ✓ fits2.7 GB4bit✓ fits4.9 GB8bit | |
| Ministral 3 8B 2512Open weightsMistral AI · image, text | —unclassified | — | 262.1K | 2 Dec 2025 | — | 2from $0.075 out | —— | |
| Ministral-3-14B-Base-2512Open weightsMistral AI | —unclassified | — | — | — | — | 0 | —— | |
| Ministral-3-14B-Reasoning-2512Open weightsMistral AI | Apache-2.0 | 13.9B | — | 31 Oct 2025 | — | 0 | ✓ fits8.5 GB4bit✓ fits16.5 GB8bit | |
| Ministral-3-3B-Base-2512Open weightsMistral AI | —unclassified | — | — | — | — | 0 | —— | |
| Ministral-3-3B-Reasoning-2512Open weightsMistral AI | Apache-2.0 | 4.25B | — | 31 Oct 2025 | — | 0 | ✓ fits3.0 GB4bit✓ fits5.4 GB8bit | |
| Mistral NemoOpen weightsMistral AI · text | Apache-2.0 | 12.3B | 131.1K | 17 Jul 2024 | — | 2from $0.03 out | ✓ fits7.5 GB4bit✓ fits14.6 GB8bit | |
| Mistral Small 3.1 24BOpen weightsMistral AI · image, text | Apache-2.0 | 24B | 128K | 11 Mar 2025 | — | 2from $0.555 out | ✓ fits14.3 GB4bit✓ fits28.1 GB8bit | |
| Mistral Small 3.2 24BOpen weightsMistral AI · image, text | Apache-2.0 | 24B | 256K | 19 Jun 2025 | — | 2from $0.20 out | ✓ fits14.3 GB4bit✓ fits28.1 GB8bit | |
| Mistral-7B-Instruct-v0.1Open weightsMistral AI · text | Apache-2.0 | 7.24B | — | 27 Sept 2023 | — | 0 | ✓ fits4.7 GB4bit✓ fits8.8 GB8bit | |
| Mistral-7B-Instruct-v0.2Open weightsMistral AI · text | Apache-2.0 | 7.24B | — | 11 Dec 2023 | — | 0 | ✓ fits4.7 GB4bit✓ fits8.8 GB8bit | |
| Mistral-7B-Instruct-v0.3Open weightsMistral AI | Apache-2.0 | 7.25B | — | 22 May 2024 | — | 0 | ✓ fits4.7 GB4bit✓ fits8.8 GB8bit | |
| Mistral-7B-v0.1Open weightsMistral AI · text | Apache-2.0 | 7.24B | — | 20 Sept 2023 | — | 0 | ✓ fits4.7 GB4bit✓ fits8.8 GB8bit | |
| Mistral-7B-v0.3Open weightsMistral AI | Apache-2.0 | 7.25B | — | 22 May 2024 | — | 0 | ✓ fits4.7 GB4bit✓ fits8.8 GB8bit | |
| Mistral-Medium-3.5-128BOpen weightsMistral AI | Other | 127.7B | — | 31 Mar 2026 | — | 0 | ✗ too large73.9 GB4bit✗ too large147.4 GB8bit | |
| Mistral-Nemo-Base-2407Open weightsMistral AI | Apache-2.0 | 12.3B | — | 18 Jul 2024 | — | 0 | ✓ fits7.5 GB4bit✓ fits14.6 GB8bit | |
| Mistral-Small-24B-Base-2501Open weightsMistral AI | —unclassified | — | — | — | — | 0 | —— | |
| Mistral-Small-3.1-24B-Base-2503Open weightsMistral AI | —unclassified | — | — | — | — | 0 | —— | |
| Mixtral 8x22B InstructOpen weightsMistral AI · document, text | —unclassified | — | 65.5K | 17 Apr 2024 | — | 2from $6 out | —— | |
| Mixtral-8x7B-Instruct-v0.1Open weightsMistral AI | Apache-2.0 | 46.7B | — | 10 Dec 2023 | — | 0 | ✓ fits27.4 GB4bit✓ fits54.2 GB8bit | |
| Mixtral-8x7B-v0.1Open weightsMistral AI | —unclassified | — | — | — | — | 0 | —— | |
| Molmo2-4BOpen weightsAllen Institute for AI · image, text | Apache-2.0 | 4.85B | — | 14 Dec 2025 | — | 0 | ✓ fits3.3 GB4bit✓ fits6.1 GB8bit | |
| MoonViT-SO-400MOpen weightsMoonshot AI · embedding, image | MIT | 416.9M | — | 10 Apr 2025 | — | 0 | ✓ fits0.7 GB4bit✓ fits1.0 GB8bit | |
| Moonlight-16B-A3BOpen weightsMoonshot AI · text | MIT | 16B3B active | — | 22 Feb 2025 | — | 0 | ✓ fits9.7 GB4bit✓ fits18.9 GB8bit | |
| Moonlight-16B-A3B-InstructOpen weightsMoonshot AI · text | MIT | 16B3B active | — | 22 Feb 2025 | — | 0 | ✓ fits9.7 GB4bit✓ fits18.9 GB8bit | |
| MythoMax 13BOpen weightsgryphe · text | —unclassified | — | 8.19K | 2 Jul 2023 | — | 1from $0.06 out | —— | |
| Nemotron 3 Nano Omni (free)Open weightsNVIDIA | —unclassified | — | — | — | — | 2 | —— | |
| Nemotron 3.5 Content SafetyOpen weightsNVIDIA · image, text | —unclassified | — | 131.1K | 4 Jun 2026 | — | 2from $0.20 out | —— | |
| Nex-N2.5-Mini (free)Open weightsNex AGI | —unclassified | — | — | — | — | 1 | —— | |
| Nex-N2.5-Pro (free)Open weightsNex AGI | —unclassified | — | — | — | — | 1 | —— | |
| NextStep-1.1Open weightsStepFun · image, text | Apache-2.0 | 14.9B | — | 23 Dec 2025 | — | 0 | ✓ fits9.1 GB4bit✓ fits17.7 GB8bit | |
| North Small TranslateOpen weightsCohere · text | CC-BY-NC-4.0 | 218B25B active | 16K | 10 Sept 2026 | — | 0 | ✗ too large125.8 GB4bit✗ too large251.2 GB8bit | |
| North-Micro-Vision-InstructOpen weightsCohere · image, text | Apache-2.0 | 2.48B | — | 10 Aug 2026 | — | 0 | ✓ fits1.9 GB4bit✓ fits3.4 GB8bit | |
| Nous-Hermes-2-Mixtral-8x7B-DPOOpen weightsNous Research · text | Apache-2.0 | 46.7B | — | 11 Jan 2024 | — | 0 | ✓ fits27.4 GB4bit✓ fits54.2 GB8bit | |
| Nous-Hermes-2-SOLAR-10.7BOpen weightsNous Research · text | Apache-2.0 | 10.7B | — | 1 Jan 2024 | — | 0 | ✓ fits6.7 GB4bit✓ fits12.8 GB8bit | |
| Nous-Hermes-2-Yi-34BOpen weightsNous Research · text | Apache-2.0 | 34.4B | — | 23 Dec 2023 | — | 0 | ✓ fits20.3 GB4bit✓ fits40.0 GB8bit | |
| Nous-Hermes-llama-2-7bOpen weightsNous Research · text | MIT | 6.74B | — | 25 Jul 2023 | — | 0 | ✓ fits4.4 GB4bit✓ fits8.3 GB8bit | |
| NousResearch/Llama-2-7b-chat-hfOpen weightsNous Research · text | —unclassified | 6.74B | — | 18 Jul 2023 | — | 0 | ✓ fits4.4 GB4bit✓ fits8.3 GB8bit | |
| NousResearch/Llama-2-7b-hfOpen weightsNous Research · text | —unclassified | 6.74B | — | 18 Jul 2023 | — | 0 | ✓ fits4.4 GB4bit✓ fits8.3 GB8bit | |
| OASIS-code-1.3BOpen weightsKwaipilot · embedding, text | MIT | 1.28B | — | 30 Oct 2024 | — | 0 | ✓ fits1.2 GB4bit✓ fits2.0 GB8bit |
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