Models

All models

Every open model on the watch list in one table, in watch-list rank order. Pick a preset for your job; the choice rides in the URL, so a link shares your view.

Ranked by the watch-list score: Hub likes, downloads, trending and recency. A starting order, not a verdict.

The floor

Every view leaves out test fixtures, models whose size didn't parse, and closed models (unless you ask for them). $0 endpoints show as a free tier and never count as cheapest; classifiers and guards never enter a speed sort. How the rank works.

577 models match, first 60 shown. Data observed 2026-10-25 06:54 UTC, Hub snapshot 2026-10-25. Hover a figure for its source and date.

All models: 577 models
#Evidence
1NanoJevC-Tianyu———0—2.4k0—
2SolomonDoccyHealth———0——0—
3Lumma-fev-0.1bFrontiersMind154M——0~0.1 GB9.2k0—
4Lumma-fev-0.6bFrontiersMind649M——0~0.4 GB9.9k0—
5sokudan-ja-310mGeneLab315M——0~0.2 GB2700—
6bosun-v3.1-0.6bHanno-Labs———0—723+2—
7bosun-v3.1-1.7bHanno-Labs———0—839+1—
8hopper-gHopitAI———0—2060—
9decider-2bMapika1.88B256K—0~1.1 GB187.3k+3—
10decider-35b-a3b-nvfp4Mapika17.9B 3B active256K—0~11 GB6110—
11decider-4bMapika4.21B256K—0~2.5 GB29.8k+1—
12mojevMoLeMo-Lab854M——0~0.5 GB1620—
13Julia-1SupersonicLabs144M——0~0.1 GB6.2k+7—
14NeoHorse-Jev-4BTokenRhythm———0—3k+1—
15Jev-Omniakhilaaa312.0B256K—0~7.2 GB5.9k+14—
16JEV-27Bautotrust26.9B256K—0~16 GB384.5k-5—
17Bespoke-Nimble-9Bbespokelabs———0—4.5k+3—
18Bespoke-Nimble-9B-v2bespokelabs———0—8300—
19Bespoke-Nimble-9B-v3bespokelabs———0—623+2—
20Eikos-27B-FP8caiovicentino127.8B256K—0~17 GB4010—
21layaconvaiinnovations421M——0~0.3 GB56k+135—
22laya-multilingualconvaiinnovations322M——0~0.2 GB14.9k+12—
23laya-typed-decisionsconvaiinnovations421M——0~0.3 GB3.8k+2—
24GLiNER2.5-Decidefastino486M——0~0.3 GB151.4k+11—
25gliner2.5-base-v1fastino194M——0~0.1 GB112.3k0—
26gliner2.5-multi-v1fastino287M——0~0.2 GB135.6k+7—
27this-that-model-1.0flock-io1.88B256K—0~1.1 GB8300—
28this-that-model-1.2flock-io1.88B256K—0~1.1 GB762+1—
29jebadiah-27bfrontier-infra27.8B256K—0~17 GB6380—
30rlcd-modernbert-151mheman10x151M——0~0.1 GB27.4k+1—
31levinterfaze-ai———0—1.2k+3—
32kev-0.8bjaredpalmer———0—17.2k+3—
33kev-4bjaredpalmer———0—20.9k+24—
34kev-9bjaredpalmer———0—6.2k+3—
35jpt-0.8bkirp853M256K—0~0.5 GB8470—
36jpt-4bkirp4.54B256K—0~2.7 GB1.5k+1—
37jpt-9bkirp9.41B256K—0~5.6 GB1.1k0—
38lavoirmoganai422M——0~0.3 GB1460—
39LFM2.5-2.6B-RLCDmonotykamary2.70B128K—0~1.6 GB4630—
40openjevopenjev27.4B256K—0~16 GB12.2k+21—
41pplx-decider-v1-27bperplexity-ai26.1B256K—0~16 GB3.5k+7—
42system-one-qwen3.5-4b-scorer-v2bpngwn———0—1410—
43rune-26b-a4b-GGUFsurogate25.8B——0~16 GB7.2k0—
44blink-27bthegovind26.9B256K—0~16 GB1440—
45metask-jev-4b-policy-mixwayfind4.54B256K—0~2.7 GB5510—
46Qwen3.8-27BQwen27.8B256K$0.02023~17 GB7.9M+434 5/5
47bge-m3BAAI—8K$0.0103—29.8M+23—
48gpt-oss-120bopenai117B128K$0.03027~70 GB2.9M+22 5/5
49all-mpnet-base-v2sentence-transformers109M514$0.0052~0.1 GB18.3M+5—
50GLM-5.3-Flashzai-org321B1M$0.01835~193 GB6.4M+59 5/5
51gpt-oss-20bopenai20.9B128K$0.01813~13 GB5.8M+23 5/5
52paraphrase-multilingual-MiniLM-L12-v2sentence-transformers118M512—1~0.1 GB40.4M+12—
53gemma-4-26B-A4B-itgoogle25.8B 4B active256K$0.04216~16 GB8.6M+30 4/5
54multilingual-e5-largeintfloat560M514$0.0102~0.3 GB6.5M+6—
55embeddinggemma-300mgoogle303M2K$0.0022~0.2 GB2.4M+25—
56GLM-5.3zai-org753B1M$0.07538~452 GB2M+60—
57Qwen3-Embedding-0.6BQwen596M32K$0.0101~0.4 GB8.2M+14—
58Kimi-K3moonshotai2.78T1M$0.2322~1668 GB909.8k+68 5/5
59gemma-4-31B-itgoogle31.3B256K$0.1014~19 GB8.5M+46—
60bge-base-en-v1.5BAAI109M512$0.0052~0.1 GB8.6M+6—

Evidence marks, left to right: coding, tools, reasoning, long docs, vision, chat. measured on a third-party board, author-reported, structural, none yet. Each mark links to its job from the model page. INT4 is an estimate of the weights alone (method).