Show me open-weights language models

18 open-weights language models from 11 labs. Input prices run from $0.05 to $3 per 1M tokens. The largest context window is 1M tokens (Kimi K3.1 Pro). Newest check: 9 Nov 2026.

94 of 197 models were checked against the vendor's own page in the last 30 days.

ModelLabContextIn / out per 1MReads and writesStatusChecked
LFM3Six open-weight models from Liquid AI, each near 2B parameters, spanning text, vision, audio, omni and decision work, launched in October 2026.Liquid AI262K--text, image, video, audio → text, audioAvailable2 Nov
LFM3-1.7BOpen-weight text model from Liquid AI for local agents and tool calling, released 27 October 2026, with a 256K-token window and a 4-bit size near 1 GB.Liquid AI262K$0.08 / $0.20text → textAvailable4 Nov
LFM3-VL-2BOpen-weight vision-language model from Liquid AI that reads images and video on-device, launched 27 October 2026 with a 128K-token context window.Liquid AI128K$0.10 / $0.50text, image, video → textAvailable4 Nov
Kimi K3.1 ProMoonshot AI's October 2026 reasoning model: a 1M-token window, always-on thinking, text and image input, and open weights on Hugging Face.Moonshot AI1M$2 / $10text, image → textAvailable6 Nov
Muse Spark OpenMeta's open-weight model for coding and agents: 816B total parameters, 42B active, released October 2026 under the Muse Model License.Meta AI1M--text, image, video, audio → textAvailable20 Oct
Mistral Large 4Mistral Large 4 is Mistral AI's largest open-weight multimodal MoE model, generally available since November 2026 with weights on Hugging Face.Mistral AI1M$0.70 / $2.10text, image → textAvailable9 Nov
Intern-DecisionShanghai AI Lab's open-weights multimodal decision models (0.8B, 2B, 4B) return typed choices with probabilities in one pass, released Sept 2026.Shanghai AI Lab----text, image → textPreview18 Oct
Qwen3.8-Flash-NextQwen3.8-Flash-Next is Alibaba's open-weight 125B-parameter MoE model (6B active per token) previewing Qwen4's architecture, with a 262,144-token context window.Alibaba Cloud262K--text, image, video → textPreview27 Aug
LFM2.5-VL-3BLFM2.5-VL-3B is Liquid AI's vision-language model with a 32,768-token context window, released August 2026 to run entirely on-device.Liquid AI33K--text, image → textAvailable4 Nov
Qwen3.8-2.4T-A95BAlibaba's 2.4T-parameter MoE model (95B active), open-weighted August 2026 with a ~1M-token context and a 92.6 GPQA Diamond score.Alibaba Cloud1M$2 / $6text → textAvailable20 Sep
Qwen3.8-MaxQwen3.8-Max is Alibaba's flagship MoE model, launched Aug 2026, with a 1M-token context, native multimodal input, and a text-only open-weight checkpoint released weeks later.Alibaba Cloud1M$2 / $6text, image, video → textAvailable14 Sep
MiniMax M3MiniMax's June 2026 open-weight flagship, built around a 1M-token context window, native multimodal input, and frontier-level agentic coding performance.MiniMax1M$0.30 / $1.20text, image, video → textAvailable29 Sep
Kanana-2 30B-A3B InstructOpen-weight mixture-of-experts chat model from Kakao, released January 2026, with 3B active parameters and six supported languages.Kakao33K--text → textAvailable13 Oct
HyperCLOVA XNaver's HyperCLOVA X family runs from free SEED weights on Hugging Face to managed CLOVA Studio models, led by an open reasoning model that reads text, images and video.Naver128K--text, image, video → textAvailable31 Oct
Nemotron 3 Nano 30B A3BNVIDIA's open Nemotron 3 Nano (30B total, 3.6B active) hits 78.3% MMLU-Pro with 3.3x the throughput of Qwen3-30B-A3B, released December 2025.NVIDIA1M$0.05 / $0.20text → textAvailable31 Aug
Osmosis-Structure-0.6BOpen-weight 0.6B model built on Qwen3 that extracts schema-valid structured output from reasoning traces, with 996 monthly Hugging Face downloads.Osmosis----text → textAvailable15 Sep
Kimi K32.8T-parameter open-weight MoE model from Moonshot AI (July 2026) with a 1M-token context window and the top published open-weight result on GPQA Diamond.Moonshot AI1M$3 / $15text, image → text, codeAvailable23 Sep
MiniMax M2.7MiniMax M2.7 is a 230B MoE model (10B active) from March 2026 with a 204,800-token context and 56.2% on SWE-Bench Pro, priced at $0.30/$1.20 per 1M tokens.MiniMax205K$0.30 / $1.20text, code → text, codeAvailable28 Sep

Licence

A person checks every record against the vendor's own page. Rankings cannot be bought. How Hokai checks records. Not sure what you need? Describe the job to Smart Match and get three picks with reasons.