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Reasoning benchmark
Every model the catalog carries a published JevBench 1.5 value for, ranked by that value.
Typed-decision evaluation across 1,624 decisions, combining chance-corrected intelligence, probability calibration, latency, and cost.
214 models with a published JevBench 1.5 value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Official option A harmonic composite with published uncertainty |
|---|---|---|---|
| 1 | M(classifier.dev (fast tier) | mrmps (@michael_chomsky) | 74.66 |
| 1 | CDclassifier.dev (fast) | classifier.dev | 74.66 |
| 3 | BLCygnet | blockbrain | 73.70 |
What the benchmark measures and how its value is published, from the source’s own record.
JevBench 1.5 is a reasoning benchmark published by JevBench v1.5 frozen method and disclosures. Typed-decision evaluation across 1,624 decisions, combining chance-corrected intelligence, probability calibration, latency, and cost. Its evaluation set is described by the source as 904 open decisions plus 720 sealed decisions per complete run. The source rates its difficulty as choice, Noul, and Score decisions with sealed generalization tests.
Each model's result is published by JevBench v1.5 frozen method and disclosures as official option A harmonic composite with published uncertainty. ModelScale prints that value to 2 decimal places, exactly as published, and never converts or rescales it. This page ranks the 214 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.
| 3 | BLCygnet (blockbrain, frozen Gemma-4-12B-it) | blockbrain | 73.70 |
| 5 | ERWinnow-12B Q8 | Eldan Ring | 73.23 |
| 5 | ERWinnow-12B Q8 | Eldan Ring | 73.23 |
| 7 | TAJev 1.13.0 | TypeSafe AI | 72.13 |
| 7 | TAJev 1.13.0 (TypeSafe AI) | TypeSafe AI | 72.13 |
| 9 | UNJevK5 v0.3 (4B) | unknown | 71.90 |
| 9 | ALJevK5 v0.3 4B | allebee | 71.90 |
| 11 | CRPlumb-4B | crh225 | 71.56 |
| 11 | CRPlumb-4B (crh225, JevK5 v0.2 + LoRA) | crh225 | 71.56 |
| 13 | AKJev-Omni | akhilaaa3 | 71.50 |
| 13 | AKJev-Omni (akhilaaa3, Gemma-4-12B merged) | akhilaaa3 | 71.50 |
| 15 | MAdecider-4b v2 | Mapika | 71.28 |
| 15 | MAdecider-4b v2 (Mapika) | Mapika | 71.28 |
| 17 | FADecision 4B v1.2 | FlyMy.AI | 70.83 |
| 17 | UNDecision 4B v1.2 (FlyMyJev, Qwen3.5-4B + LoRA) | unknown | 70.83 |
| 19 | MOImajev-4B (RTX 5090) | mohit67890 | 70.39 |
| 19 | UNImajev-4B (RTX 5090) | unknown | 70.39 |
| 21 | FADecision 4B v1.1 | FlyMy.AI | 70.39 |
| 21 | UNDecision 4B v1.1 (FlyMyJev, Qwen3.5-4B + LoRA) | unknown | 70.39 |
| 23 | ORManchego v2.1 | oraculumai | 68.81 |
| 23 | ORManchego v2.1 | oraculumai | 68.81 |
| 25 | TLSemIf Qwen3.5-4B | Theodore Lee (TheoLeeCJ) | 68.66 |
| 25 | TLSemIf, formerly OpenJev (Qwen3.5-4B, TheoLeeCJ) | Theodore Lee (TheoLeeCJ) | 68.66 |
| 27 | ARspark-s1-4b-v6 | Abhishek Rai (abhishek085) | 68.16 |
| 27 | ARspark-s1-4b-v6 (Open Spark Jev, abhishek085) | Abhishek Rai (abhishek085) | 68.16 |
| 29 | W(metask-jev-4b | Wayfind (metask-ai) | 67.48 |
| 29 | W(metask-jev-4b | Wayfind (metask-ai) | 67.48 |
| 31 | HOHopper | HopitAI | 67.47 |
| 31 | HOHopper | HopitAI | 67.47 |
| 33 | N(Malkuth-4B | newfull5 (dhtocks) | 66.77 |
| 33 | N(Malkuth-4B (newfull5, Kev post-train) | newfull5 (dhtocks) | 66.77 |
| 35 | UNSurogate Rune 26B-A4B v3 (RTX PRO 6000) | unknown | 66.47 |
| 35 | SUSurogate Rune 26B-A4B v3 (RTX PRO 6000) | Surogate | 66.47 |
| 37 | KSreflex 4B | kshetrajna12 | 65.24 |
| 37 | KSreflex 4B (kshetrajna12) | kshetrajna12 | 65.24 |
| 39 | U(jev-local (Qwen3.5-9B) | us (GitHub) | 65.24 |
| 39 | U(jev-local Qwen3.5-9B | us (GitHub) | 65.24 |
| 41 | MAdjev | Maisa | 64.16 |
| 41 | M(djev (Maisa, diffusion-gemma) | Maisa (David Villalón) | 64.16 |
| 43 | AQRaw Qwen3 4B Instruct 2507 direct logits | Alibaba Qwen / neutral reproduction | 62.14 |
| 43 | Alibaba | 62.14 |
| 45 | H(jqv (Qwen3-32B zero-shot) | hjmurmur (Octalab) | 60.77 |
| 45 | OCjqv Qwen3-32B | Octalab | 60.77 |
| 47 | ALJevK5 v0.2.0 | allebee | 58.11 |
| 47 | ALJevK5 v0.2.0 | allebee | 58.11 |
| 49 | JSQwen3.5-9B Jev-like data-mix v2 | jsaurabh | 53.02 |
| 49 | JSQwen3.5-9B Jev-like data-mix v2 | jsaurabh | 53.02 |
| 51 | STStandard One 8B | Standard Thinking | 47.79 |
| 51 | STStandard One 8B (Standard Thinking) | Standard Thinking (myeongho12) | 47.79 |
| 53 | ILNInfer Qwen3.8-Flash-Next mixed | Igor L. / NInfer contributors | 47.47 |
| 53 | ILNInfer Qwen3.8-Flash-Next mixed | Igor L. / NInfer contributors | 47.47 |
| 55 | ZOInstinct Dual 4B | ZooWork | 46.97 |
| 55 | ZPInstinct Dual 4B | ZooWork / pierre-srp | 46.97 |
| 57 | BLswanOne | blockbrain | 46.56 |
| 57 | BLswanOne (blockbrain, Qwen3.8-Flash-Next NVFP4) | blockbrain | 46.56 |
| 59 | AQRaw Qwen3 8B direct logits | Alibaba Qwen / neutral reproduction | 45.22 |
| 59 | Alibaba | 45.22 |
| 61 | MAdecider-2b | Mapika | 45.10 |
| 61 | MAdecider-2b (Mapika) | Mapika | 45.10 |
| 63 | SGsystem-one (Qwen3-8B, Sean Goedecke) | Sean Goedecke | 44.14 |
| 63 | SGsystem-one Qwen3-8B | Sean Goedecke | 44.14 |
| 65 | MIsystem-one-open | mithalouni | 42.44 |
| 65 | MIsystem-one-open (Gemma 4 E2B LoRA on an L4) | mithalouni | 42.44 |
| 67 | AUAutoloops – Gemma 4 31B IT | Autoloops | 40.53 |
| 67 | AUAutoloops Gemma 4 31B IT | Autoloops | 40.53 |
| 69 | OpenAI | 40.48 |
| 69 | OpenAI | 40.48 |
| 71 | OpenAI | 38.75 |
| 71 | OpenAI | 38.75 |
| 73 | JUJevOne | Juspay | 38.25 |
| 73 | JUJevOne | Juspay | 38.25 |
| 75 | JPkev 4B | Jared Palmer | 38.07 |
| 75 | JPkev 4B (research preview) | Jared Palmer | 38.07 |
| 77 | JPkev 8B | Jared Palmer | 34.15 |
| 77 | JPkev 8B (research preview) | Jared Palmer | 34.15 |
| 79 | IKopen-alternative-jev (Qwen3.5-4B, IkerMoel) | IkerMoel | 33.56 |
| 79 | IKopen-alternative-jev Qwen3.5-4B | IkerMoel | 33.56 |
| 81 | BLBespoke Nimble 9B | Bespoke Labs | 31.82 |
| 81 | BLBespoke Nimble 9B (Bespoke Labs) | Bespoke Labs | 31.82 |
| 83 | N(Malkuth-2B | newfull5 (dhtocks) | 29.90 |
| 83 | N(Malkuth-2B (newfull5, Kev post-train) | newfull5 (dhtocks) | 29.90 |
| 85 | EKopenjev-sglang (Qwen3.6-35B-A3B on SGLang) | ekzhang | 29.03 |
| 85 | EKopenjev-sglang Qwen3.6-35B-A3B | ekzhang | 29.03 |
| 87 | MAdecider-35b-a3b | Mapika | 27.50 |
| 87 | MAdecider-35b-a3b (Mapika) | Mapika | 27.50 |
| 89 | AClocal-jev Qwen3.5-4B | Amith Chandrappa (amithgc) | 25.82 |
| 89 | AClocal-jev Qwen3.5-4B | Amith Chandrappa (amithgc) | 25.82 |
| 91 | PSNemotron Diffusion 8B (optimized vLLM) | pst2154 | 25.68 |
| 91 | PSNemotron Diffusion 8B (pst2154, optimized vLLM) | pst2154 | 25.68 |
| 93 | ZCOpen-Jev 9B | Zefan Cai (@Zefan_Cai) | 24.36 |
| 93 | ZCOpen-Jev 9B (Zefan Cai) | Zefan Cai (@Zefan_Cai) | 24.36 |
| 95 | FADecision 2B (FlyMy.AI, v59) | FlyMy.AI (@denti) | 22.52 |
| 95 | FADecision 2B v59 | FlyMy.AI | 22.52 |
| 97 | OpenAI | 22.37 |
| 97 | OpenAI | 22.37 |
| 99 | MGtypecastlm | Mikhail Gribov | 21.83 |
| 99 | MGtypecastlm (Mikhail Gribov, Qwen3.5-4B computed head) | Mikhail Gribov | 21.83 |
| 101 | WIJEV Qwen3.5-9B Base NVFP4 | WilfLin | 20.07 |
| 101 | WIJEV Qwen3.5-9B Base NVFP4 | WilfLin | 20.07 |
| 103 | 19.58 |
| 104 | DPAutoJev-27B | denis-pplx | 19.54 |
| 104 | UNAutoJev-27B (denis-pplx, Qwen3.8-27B) | unknown | 19.54 |
| 106 | DPAutoJev-27B (RTX PRO 6000) | denis-pplx | 19.48 |
| 106 | UNAutoJev-27B (RTX PRO 6000) | unknown | 19.48 |
| 108 | ILNInfer Qwen3.8-27B NVFP4 | Igor L. / NInfer contributors | 18.74 |
| 108 | ILNInfer Qwen3.8-27B NVFP4 | Igor L. / NInfer contributors | 18.74 |
| 110 | CAEikos-27B | caiovicentino1 | 18.50 |
| 110 | UNEikos-27B (caiovicentino1, Qwen3.8-27B) | unknown | 18.50 |
| 112 | ILNInfer Qwen3.8-27B NVFP4 (T=1.5) | Igor L. / NInfer contributors | 18.48 |
| 112 | ILNInfer Qwen3.8-27B NVFP4 (T=1.5) | Igor L. / NInfer contributors | 18.48 |
| 114 | RSInstinct (ZooWork, Qwen3.8-27B) | rayrain-srp (ZooWork) | 18.32 |
| 114 | ZOInstinct Qwen3.8-27B | ZooWork | 18.32 |
| 116 | RAOpenJev (thinking, BF16) | razorback16 | 17.94 |
| 116 | RAOpenJev (thinking, BF16) | razorback16 | 17.94 |
| 118 | MAdjev (thinking) | Maisa | 17.40 |
| 118 | DVdjev (thinking) | David Villalon / Maisa | 17.40 |
| 120 | ZYLitJev (Qwen3.8-27B) | Zhengxu Yu | 16.31 |
| 120 | ZYLitJev Qwen3.8-27B | Zhengxu Yu | 16.31 |
| 122 | RSBev / Bonsai 27B | Reza Sayar | 15.77 |
| 122 | RSBev / Bonsai 27B | Reza Sayar | 15.77 |
| 124 | MNRaw Phi-4 mini direct logits | Microsoft / neutral reproduction | 15.22 |
| 124 | Microsoft | 15.22 |
| 126 | SAOpenSourceJev (Qwen3.5-4B Q4_K_M, native llama.cpp) | sabeel111 | 13.25 |
| 126 | SAOpenSourceJev Qwen3.5-4B Q4_K_M | sabeel111 | 13.25 |
| 128 | KSreflex-27b | kshetrajna12 | 13.19 |
| 128 | KSreflex-27b (Qwen3.8-27B) | kshetrajna12 | 13.19 |
| 130 | ZCOpen-Jev 2B | Zefan Cai (@Zefan_Cai) | 9.07 |
| 130 | ZCOpen-Jev 2B (Zefan Cai) | Zefan Cai (@Zefan_Cai) | 9.07 |
| 132 | FAGLiNER2 large | Fastino | 8.40 |
| 132 | FAGLiNER2 large (Fastino) | Fastino | 8.40 |
| 134 | Qwen | 7.06 |
| 134 | Alibaba | 7.06 |
| 136 | DeepSeek | 6.65 |
| 137 | SFSimpleJev (Qwen3.5-0.8B, CPU) | sabeel111 / Featherless AI | 4.00 |
| 137 | FASimpleJev Qwen3.5-0.8B | Featherless AI | 4.00 |
| 139 | FASimpleJev Qwen3.8-27B | Featherless AI | 3.36 |
| 139 | FASimpleJev Qwen3.8-27B | Featherless AI | 3.36 |
| 141 | MAdecision-machine-1 | milliseconds.ai | 3.24 |
| 141 | MAdecision-machine-1 (milliseconds.ai) | milliseconds.ai (Baptiste Laget) | 3.24 |
| 143 | FAGLiNER2.5 multi | Fastino | 2.72 |
| 143 | FAGLiNER2.5 multi (Fastino, 287M) | Fastino | 2.72 |
| 145 | CLBosun v3.1 0.6B | Clause Logic | 2.50 |
| 145 | CLBosun v3.1 0.6B | Clause Logic | 2.50 |
| 147 | FAGLiNER2 (Fastino, gliner2.5-base) | Fastino | 2.27 |
| 147 | FAGLiNER2.5 base | Fastino | 2.27 |
| 149 | LIDeem 0.8B v1 | LibertAI | 2.14 |
| 149 | LIDeem 0.8B v1 | LibertAI | 2.14 |
| 151 | EIJevAct | einptein | 1.52 |
| 151 | EIJevAct (einptein, jev1-2b-v2) | einptein | 1.52 |
| 153 | CLCLM-8B | Contrastive-LM | 1.51 |
| 153 | CLCLM-8B (Contrastive-LM, clm-latest) | Contrastive-LM (Kwok, Kang, Suresh, Saad-Falcon, Pavone, Ré, Mirhoseini) | 1.51 |
| 155 | JPkev 0.6B | Jared Palmer | 1.26 |
| 155 | JPkev 0.6B (research preview) | Jared Palmer | 1.26 |
| 157 | AQRaw Qwen3 0.6B direct logits | Alibaba Qwen / neutral reproduction | 1.08 |
| 157 | Alibaba | 1.08 |
| 159 | FAGLiNER2.5 small | Fastino | 0.89 |
| 159 | FAGLiNER2.5 small (Fastino, 74M) | Fastino | 0.89 |
| 161 | AQRaw Qwen3 1.7B direct logits | Alibaba Qwen / neutral reproduction | 0.85 |
| 161 | Alibaba | 0.85 |
| 163 | BLMirror | Bluusun | 0.22 |
| 163 | BLMirror | Bluusun | 0.22 |
| 165 | ZEZeroEntropy zerank-2 | ZeroEntropy | 0.13 |
| 165 | ZEZeroEntropy zerank-2 | ZeroEntropy | 0.13 |
| 167 | LMjeff | Logan Markewich | 0.12 |
| 167 | LMjeff (Logan Markewich, GLiFormer 400M) | Logan Markewich | 0.12 |
| 169 | A(smalljev semantic-v9 | Aditya (isHeSatoshi) | 0.07 |
| 169 | A(smalljev semantic-v9 | Aditya (isHeSatoshi) | 0.07 |
| 171 | CILaya multilingual | Convai Innovations | 0.02 |
| 171 | CILaya multilingual | Convai Innovations | 0.02 |
| 173 | DWOpenDecision (ModernBERT-large zero-shot) | Deepan Wadhwa | 0.01 |
| 173 | DWOpenDecision ModernBERT-large | Deepan Wadhwa | 0.01 |
| 175 | Alibaba | 0.00 |
| 175 | ANAlibaba GTE Reranker ModernBERT-base | Alibaba-NLP | 0.00 |
| 175 | BABAAI bge-reranker-v2-m3 | BAAI | 0.00 |
| 175 | BABAAI bge-reranker-v2-m3 | BAAI | 0.00 |
| 175 | ALCerto v1 | AltSlate Labs | 0.00 |
| 175 | ALCerto v1 (AltSlate Labs) | AltSlate Labs | 0.00 |
| 175 | FADecision Fast (FlyMy.AI, v53a) | FlyMy.AI (@denti) | 0.00 |
| 175 | FADecision Fast v53a | FlyMy.AI | 0.00 |
| 175 | JPkev 0.5B | Jared Palmer | 0.00 |
| 175 | JPkev 0.5B | Jared Palmer | 0.00 |
| 175 | CILaya | Convai Innovations | 0.00 |
| 175 | CILaya (Convai Innovations, ModernBERT-large 421M) | Convai Innovations | 0.00 |
| 175 | CILaya typed-decisions | Convai Innovations | 0.00 |
| 175 | CILaya typed-decisions | Convai Innovations | 0.00 |
| 175 | FVlev-350m | Franck Verrot (franckverrot) | 0.00 |
| 175 | FVlev-350m (Franck Verrot, LFM2.5-350M) | Franck Verrot (franckverrot) | 0.00 |
| 175 | MIMixedbread mxbai-rerank-base-v2 | Mixedbread | 0.00 |
| 175 | MIMixedbread mxbai-rerank-base-v2 | Mixedbread | 0.00 |
| 175 | CCNeedle 3 (2-bit) | Cactus Compute | 0.00 |
| 175 | CCNeedle 3 (Cactus, 2-bit, local CPU) | Cactus Compute | 0.00 |
| 175 | CCNeedle 3 (options as tools) | Cactus Compute | 0.00 |
| 175 | CCNeedle 3, options as tools (post-hoc adapter mode) | Cactus Compute | 0.00 |
| 175 | JOOpen Jev JSON Canvas | JoshuaSP | 0.00 |
| 175 | JOOpen Jev JSON Canvas (JoshuaSP) | JoshuaSP | 0.00 |
| 175 | KLopen-jev-deberta-v3-large | Kotoba Labs | 0.00 |
| 175 | KLopen-jev-deberta-v3-large (local CPU) | Kotoba Labs | 0.00 |
| 175 | H(openJev Verdict | Hemant (heman10x) | 0.00 |
| 175 | H(openJev Verdict (heman10x, ModernBERT-base 151M) | Hemant (heman10x) | 0.00 |
| 175 | H(openJev Verdict 1.4 | Hemant (heman10x) | 0.00 |
| 175 | H(openJev Verdict 1.4 | Hemant (heman10x) | 0.00 |
| 175 | MGQwen3.5-0.8B Decision Model | Mourad Ghafiri | 0.00 |
| 175 | MGQwen3.5-0.8B Decision Model (Mourad Ghafiri) | Mourad Ghafiri | 0.00 |
| 175 | QCQwen3.8 27B (Chutes TEE) | Qwen / Chutes | 0.00 |
| 175 | Alibaba | 0.00 |
| 175 | FASimpleJev Qwen3.6-35B-A3B | Featherless AI | 0.00 |
| 175 | FASimpleJev Qwen3.6-35B-A3B | Featherless AI | 0.00 |
| 175 | M(verdict-small | Manavarya09 (Manav) | 0.00 |
| 175 | M(verdict-small (Manavarya09, multilingual-e5-small 118M) | Manavarya09 (Manav) | 0.00 |
| 175 | W(Von (wfzyx, Option-Marker 395M) | wfzyx (Victor Hugo) | 0.00 |
| 175 | W(Von 395M | wfzyx (Victor Hugo) | 0.00 |
Evidence key: ObservedLast good
Rows are ordered by the value JevBench v1.5 frozen method and disclosures published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.