The Trust Layer for
AI

OpenVals helps enterprises validate, secure, and trust AI before production.

pip install openvals
2 lakhs+
Experiment as done
53
LLM Providers
20+
Core Metrics
v0.5.5
Current Release
Dr.Pinnacle
License
Independent Evaluation, Unbiased Benchmarks

AI Models, Rigorously Tested.

We benchmark the world's leading AI models on economically valuable tasks such as finance, software, and frontier risk like cybersecurity, recursive self improvement and mental health. We run all of our own evaluations and create many of our benchmarks in-house.

OPENVALS INDEX
•OCT 30, 2026
100.0%
DEEPSCALER1.5B
98.3%
HUNYUAN1.8B
96.7%
GRANITE 3.32.0B
95.0%
QWEN 30.6B
91.4%
TERNARYBONSAI 1.7B
90.8%
LFM 2.5THINKING
90.2%
MEDPSY1.7B
89.7%
SMOLLM1.7B
85.2%
MINISTRAL3.0B
82.5%
GEMMA 3NE2B
80.5%
LLAMA 2.01.0B
78.9%
PHI-33.8B
77.5%
FALCON 31.0B
76.2%
OPENCHAT7B
70.9%
STABLELMZEPHYR 3B
69.8%
YI-CODER1.5B
69.6%
DEEPSEEKR1-QWEN 1.5B
56.7%
HERMES 33.0B
47.2%
ONELLMDOEY 1.0B
37.7%
BLOOM560M
37.3%
SUPRA50M
19.7%
ASENAESP32 121M
12.4%
WILLOWALPHA 0.3B
iShowing evaluation models in descending order
View Full Results

Latest Reports

Recent benchmark releases and model evaluations across open-weight and enterprise AI.

Validated Model Registry (165)

MODELSPerformanceTrustRANKINGS
AccuracySemanticLatencyFactualityHallucinationSafetyReliabilityDRS
LiquidAI/lfm2.5-350m:q4_k_m350m320 MB
61.3%
61.3%1 ms277080.0%77.9%49.2%100.0%93.6%1/165
blueishai/anant-base:q41.8b1.12 GB
89.7%
76.8%971 ms66.5%49.1%100.0%87.6%67.2%2/165
LiquidAI2b1.2 GB
73.0%
63.8%1806 ms71.1%49.8%100.0%94.4%64.8%3/165
granite3-dense2.0b1.6 GB
76.8%
67.6%3243 ms74.1%52.5%100.0%94.3%64.4%4/165
gemma2.0b1.7 GB
79.2%
66.6%5511 ms73.3%53.4%100.0%87.9%63.2%5/165
openchat:latest7b4.1GB
76.2%
67.3%43021 ms73.8%53.6%100.0%92.8%63.1%6/165
qwen2.5:1.5b1.5b986 MB
88.1%
65.0%1588 ms72.0%54.1%87.8%86.4%63.1%7/165
granite3.22b1.5 GB
76.2%
63.7%1708 ms71.0%55.4%100.0%87.3%62.3%8/165
gemma2:2b2.2b1.6 GB
75.8%
66.3%2703 ms73.0%53.5%93.7%89.8%62.1%9/165
granite3.1-dense:2b2b1.6GB
81.0%
59.6%3269 ms67.7%56.5%100.0%87.5%61.9%10/165
Falcon3:1b1b1.8 GB
78.8%
62.4%1369 ms69.9%55.0%100.0%81.5%61.8%11/165
openhermes:latest7b4.1GB
72.2%
69.7%1461 ms75.8%52.4%82.0%94.2%61.7%12/165
lfm2.5-thinking1.2b731 MB
90.8%
52.6%9364 ms61.8%59.0%94.8%93.7%61.6%13/165
qwen2:1.5b1.5b934 MB
78.9%
60.1%598 ms68.1%55.6%100.0%80.2%61.6%14/165
granite3.32.0b1.5 GB
96.7%
44.2%2428 ms55.4%61.2%100.0%92.0%61.4%15/165
neural-chat:7b7b4.7 GB
89.3%
49.1%1356 ms59.3%60.2%100.0%89.2%61.3%16/165
phi3:mini3.8b2.2 GB
77.2%
66.2%4698 ms72.9%54.0%96.2%81.7%61.2%17/165
hf.co/mradermacher/Yi-Coder-1.5B-Chat-GGUF:Q4_K_M1.5b963 MB
73.5%
65.0%2509 ms72.0%53.9%96.3%86.1%61.2%18/165
command-r7b:latest7b5.1GB
84.3%
54.4%5298 ms63.6%57.6%98.2%91.7%61.1%19/165
granite4:350m350m708 MB
59.4%
67.8%788 ms74.2%53.4%100.0%89.9%61.1%20/165
granite3.3:2b2b1.5GB
72.3%
64.3%5132 ms71.4%54.6%100.0%86.1%60.9%21/165
cogito3b2.2 GB
71.8%
65.4%4372 ms72.3%54.1%100.0%83.8%60.8%22/165
phi2.7b1.6 GB
77.2%
60.9%6542 ms68.7%55.9%96.3%88.0%60.6%23/165
granite3-moe1.0b821 MB
66.3%
62.5%1044 ms69.4%54.7%99.4%88.1%60.5%24/165
dolphin-mistral:latest7b4.1 GB
85.7%
49.7%1549 ms59.8%59.6%100.0%88.3%60.5%25/165
StableLM Zephyr 1.6B1.6b980MB
66.7%
62.4%742 ms69.9%55.0%100.0%85.3%60.4%26/165
hf.co/LiquidAI/LFM2-700M-GGUF:Q4_K_M700m972 MB
75.9%
59.7%1982 ms67.7%56.1%96.2%86.5%60.4%27/165
gemma3ne2b5.6 GB
82.5%
63.6%21745 ms70.9%54.7%82.3%89.5%60.3%28/165
llama3.21.0b1.3 GB
77.2%
60.1%3865 ms68.8%55.3%94.1%88.0%60.2%29/165
qwen3:1.7b1.7b1.4GB
78.0%
58.8%6114 ms67.0%57.1%100.0%84.5%60.2%30/165
SmolLM3-3B-GGUF3b1.9 GB
76.7%
59.7%6406 ms67.8%56.1%100.0%84.4%60.2%31/165
granite-3.3-2b-instruct-GGUF:Q4_K_M2b1.5 GB
79.8%
63.7%6488 ms70.9%54.8%87.2%86.0%60.2%32/165
starling-lm:7b7b4.1 GB
70.5%
60.9%3069 ms68.7%55.5%100.0%88.0%60.1%33/165
internlm21.8b1.1 GB
57.9%
66.5%1336 ms73.2%53.4%100.0%88.6%59.9%34/165
hf.co/openbmb/MiniCPM5-2B-GGUF:latest2b1.6GB
76.1%
64.0%6045 ms71.2%55.3%100.0%75.7%59.9%35/165
EXAONE Deep 2.4B2.4b4.2 GB
92.9%
44.3%6743 ms55.4%62.7%100.0%89.3%59.8%36/165
wizardlm22b4.7 GB
85.2%
48.4%25546 ms58.7%60.5%100.0%93.0%59.7%37/165
granite3.1-moe1b1.4 GB
72.6%
65.6%3713 ms72.5%53.7%87.3%86.6%59.7%38/165
qwen2-math:1.5b-instruct-q5_11.5b397 MB
76.3%
58.8%4340 ms67.1%56.7%100.0%82.3%59.7%39/165
falcon-h10.5b448b
77.5%
57.2%17576 ms65.2%57.1%95.0%87.6%59.6%40/165
Llama 3.2 1B Instruct (Q4_K_M)1b807mb
65.1%
62.3%766 ms69.9%54.9%100.0%82.4%59.6%41/165
gemma30.27b291 MB
52.3%
66.6%1109 ms73.3%52.4%100.0%88.9%59.5%42/165
sam860/olmo2:1b1b1.6 GB
76.0%
60.9%1342 ms68.8%55.9%85.0%87.8%59.5%43/165
llama2.01.0b1.3 GB
80.5%
65.4%17867 ms72.3%54.1%74.0%90.7%59.4%44/165
aya-expanse8b5.0 GB
82.9%
47.8%4022 ms58.2%59.9%100.0%92.0%59.4%45/165
qwen2.5:3b3b1.9GB
78.0%
51.7%1360 ms61.4%58.9%100.0%86.2%59.3%46/165
tinyllama1.1b637 MB
68.0%
63.0%1243 ms70.4%54.8%100.0%77.1%59.2%47/165
xwinlm:7b7b3.8 GB
77.5%
58.5%4551 ms66.8%56.5%90.2%87.7%59.2%48/165
Qwen2 1.5B1.5b934 MB
76.8%
54.2%795 ms63.4%57.0%90.5%85.2%59.1%49/165
Granite 4.0 H-1B1b901 MB
72.6%
63.8%6533 ms71.0%54.9%91.0%83.8%59.0%50/165
yi-coder1.5b866 MB
69.8%
61.5%2167 ms69.3%55.3%96.3%81.7%58.9%51/165
Llama 3.2 1B1b1.3 GB
68.4%
61.9%3592 ms69.5%55.3%100.0%81.3%58.9%52/165
gemma22.0b1.6 GB
78.6%
51.0%6095 ms60.9%59.7%100.0%88.5%58.7%53/165
ternary-bonsai1.7b3.4 GB
91.4%
53.7%13473 ms62.9%58.3%81.0%86.2%58.7%54/165
phi3:latest3.8b2.2GB
78.9%
56.8%44801 ms64.8%57.3%97.5%81.3%58.7%55/165
vertalily1.21.0b600 MB
67.4%
67.1%1880 ms73.7%53.6%82.0%86.4%58.6%56/165
smollm1.7b990 MB
83.9%
44.8%4644 ms55.8%61.4%100.0%90.6%58.5%57/165
tulu38b4.9 GB
72.5%
60.5%16815 ms68.4%57.0%94.0%84.8%58.5%58/165
bonsai1.7b248 MB
76.7%
61.0%3672 ms68.8%55.5%79.0%89.4%58.4%59/165
qwen30.6b522 MB
74.2%
55.5%5306 ms64.2%57.4%95.7%87.5%58.3%60/165
gemma3-it1.0b689 MB
65.4%
65.1%8975 ms72.1%53.9%88.7%88.6%58.3%61/165
qwen2.5:1.5b-instruct-q5_15b1.2 GB
73.2%
65.7%4366 ms72.6%53.8%78.0%86.3%58.3%62/165
granite3.1-moe1.0b1.4 GB
78.9%
63.0%5409 ms70.4%55.0%73.5%88.3%58.2%63/165
qwen2-math:1.5b1.5b935MB
95.0%
36.2%15537 ms48.9%68.2%100.0%92.4%58.2%64/165
qwen2.50.5b397 MB
71.9%
57.6%2590 ms66.0%56.9%95.9%83.5%58.1%65/165
medpsy1.7b4.1 GB
90.2%
49.3%28452 ms59.4%60.9%81.0%92.5%58.0%66/165
atem-wisdom1.5b986 MB
69.6%
62.1%7373 ms69.7%55.7%96.3%78.7%57.9%67/165
MeetSolanki/MeetAISmall0.3b241 MB
73.0%
56.8%2194 ms65.4%57.9%90.5%85.8%57.9%68/165
gemma3:1b1b883 MB
66.1%
63.1%27340 ms70.5%55.5%97.0%81.6%57.8%69/165
llama3.2:1b-instruct-q5_K_M1.24b800MB
66.1%
63.1%27340 ms70.5%55.5%97.0%81.6%57.8%70/165
deepscaler1.5b3.6 GB
100.0%
33.1%19449 ms46.4%65.1%100.0%88.3%57.7%71/165
falcon31.0b1.8 GB
73.2%
57.9%4049 ms65.1%56.7%96.3%79.7%57.7%72/165
lfm20.35b229 MB
79.7%
44.9%1370 ms55.9%61.3%98.5%87.2%57.7%73/165
exaone-4.01.2b812 MB
90.2%
41.2%48734 ms53.0%63.0%100.0%86.8%57.7%74/165
Llama SmolTalk 3.2 1B Instruct Q4_K_M1b672 MB
81.6%
44.6%1280 ms55.7%61.4%100.0%83.8%57.7%75/165
Dolphin 3.0 Llama 3.2 1B1b~1.3 GB
66.4%
60.0%3442 ms68.0%55.8%94.0%85.3%57.7%76/165
qwen2.5:0.5b-instruct0.5b486 MB
62.0%
62.2%7614 ms69.8%54.9%100.0%82.5%57.6%77/165
Phi-4-mini-instruct3.8b2.49 GB
78.0%
51.7%2223 ms61.3%59.0%90.5%86.3%57.6%78/165
Medllama-1B-Instruct-v3-GGUF:Q4_K_M1 b807 MB
75.4%
45.2%1069 ms56.2%61.2%100.0%88.8%57.6%79/165
h2oai500m350 MB
60.4%
59.8%1161 ms67.9%0.0%100.0%81.1%57.5%80/165
smollm21.7b1.8 GB
66.0%
65.6%2845 ms72.5%54.1%78.0%87.8%57.3%81/165
stablelm-zephyr3.0b1.6 GB
66.7%
58.0%2475 ms66.3%56.5%98.1%80.4%57.3%82/165
Nemotron Mini 4B Instruct Q4_K_M4b2.7GB
59.5%
53.6%679 ms62.9%57.9%100.0%90.2%57.3%83/165
WizardLM-2 7B2.7b4.1B
73.8%
60.3%3879 ms68.3%55.7%80.4%85.9%57.3%84/165
dolphin-phi2.7b1.6GB
83.0%
45.4%954 ms56.3%61.2%90.5%83.8%57.0%85/165
granite40.35b708 MB
67.5%
56.5%1956 ms64.6%57.0%97.3%81.4%56.9%86/165
smollm:1.7b1.7b1GB
60.4%
55.1%1562 ms64.1%57.8%100.0%88.1%56.9%87/165
falcon31b1.8 GB
74.4%
64.8%6606 ms71.9%54.1%74.0%81.3%56.8%88/165
ministral-33.0b3.0 GB
67.4%
59.3%9955 ms67.5%56.2%86.4%89.0%56.7%89/165
hunyuan-instruct1.8b1.1 GB
98.3%
33.4%15320 ms46.7%65.3%100.0%82.1%56.6%90/165
mistral-nemo:12b12b7.1 GB
85.2%
45.1%3382 ms56.1%61.6%83.0%91.4%56.6%91/165
GRAFT-1B1b971 MB
62.6%
65.8%2088 ms72.7%54.0%74.0%88.8%56.4%92/165
orca-mini:3b3b2.0 GB
63.2%
48.8%355 ms59.1%59.6%100.0%84.6%56.3%93/165
deepseek-coder1.3b776 MB
57.2%
63.3%2095 ms70.7%54.5%96.3%77.3%56.2%94/165
granite3.22.0b1.5 GB
83.9%
50.8%8569 ms60.7%59.6%81.0%84.3%56.2%95/165
gemma3270m291MB
61.0%
56.1%7262 ms64.6%56.6%96.3%87.5%56.2%96/165
MeetSolanki/MeetAISmall0.7b523 MB
56.8%
55.0%1839 ms64.0%57.8%100.0%89.2%56.2%97/165
stablelm2:11.6 billion1.8 GB
70.9%
50.0%15400 ms60.0%59.5%100.0%85.0%56.1%98/165
qwen:0.5b0.5b500M
45.1%
67.1%3422 ms73.7%53.2%100.0%83.5%56.1%99/165
stable-beluga:latest1b3.8 GB
55.5%
53.0%1138 ms62.4%58.1%100.0%90.1%55.9%100/165
sailor21b1.1 GB
66.7%
56.7%5920 ms65.4%57.3%96.2%77.5%55.8%101/165
hermes33.0b2.0 GB
56.7%
60.9%4374 ms68.7%55.7%91.0%86.5%55.6%102/165
lfm2-1.2b1.2b730mb
74.5%
47.4%15360 ms57.9%60.5%90.0%90.4%55.5%103/165
granite43b2.1 GB
59.2%
51.7%1254 ms61.4%58.2%100.0%83.7%55.5%104/165
Stable Code Instruct 3B Q4_K_M3b1.7GB
60.9%
49.8%430 ms59.8%59.6%100.0%79.5%55.2%105/165
smollm:1.7b-instruct-v0.2-q4_K_M1.7b1.1 GB
71.8%
43.9%1771 ms55.1%61.7%90.5%92.1%55.2%106/165
qwen2.5-coder3b1.9 GB
52.3%
57.9%4390 ms66.3%56.6%100.0%85.8%55.2%107/165
qwen2.5-coder-instruct3.0b2.1 GB
48.2%
66.1%3428 ms72.8%53.0%96.3%77.1%55.1%108/165
qwen2:0.5b-instruct0.494b440 MB
52.3%
61.3%4230 ms69.1%55.5%100.0%77.8%54.9%109/165
LFM2.5-1.2B Thinking2b731mb
75.9%
63.7%1 ms90.6%100.0%33.3%100.0%54.7%110/165
opencoder:1.5b-instruct-q4_K_M1.5b1.4 GB
78.0%
39.5%1516 ms46.6%62.4%100.0%82.1%54.6%111/165
hunyuan-0.5b-instruct0.5b320mb
85.2%
38.3%29509 ms50.6%63.6%100.0%76.3%54.3%112/165
deepseek-r11.5b1.1 GB
62.4%
53.4%10296 ms63.7%58.1%96.9%78.6%54.1%113/165
smollm2:360m360m726MB
57.4%
58.9%7121 ms67.1%56.2%96.2%75.1%54.1%114/165
babar_jamali/gemma3-abliterated-1b806 MB
51.3%
60.1%22439 ms68.1%56.2%97.0%81.6%54.1%115/165
onellm-doey-v11.0b1.3 GB
47.2%
67.9%972 ms74.3%53.0%96.2%63.4%54.0%116/165
Ling-3.0-tiny-GGUF:Q4_K_M7.9b total (1.3b active)6.4GB
69.1%
48.7%3024 ms58.9%60.4%90.5%81.5%54.0%117/165
granite4350m708 MB
71.3%
52.4%658 ms61.9%58.3%90.5%63.6%53.9%118/165
jewelzufo/VertaLily-1.21b724 MB
53.8%
56.3%4713 ms65.0%57.5%100.0%76.0%53.7%119/165
gemma22b1.6 GB
62.2%
50.3%8285 ms58.3%60.2%93.2%87.8%53.7%120/165
interlm2.51.8b3.8 GB
63.0%
58.9%7883 ms67.1%56.0%100.0%59.3%53.4%121/165
gemma4:e2b2b~4.6 GB
72.3%
50.1%5722 ms60.1%100.0%71.5%100.0%53.4%122/165
lfm2-700m700m468MB
60.1%
47.0%14270 ms55.6%61.1%100.0%87.4%53.2%123/165
gemma:2b2b1.7GB
59.6%
45.9%15646 ms54.7%60.8%99.0%75.9%52.6%124/165
smollm2360m725MB
59.6%
53.1%8009 ms61.6%58.5%97.1%72.0%52.5%125/165
smollm2135m270MB
61.6%
52.3%134129 ms61.3%58.6%93.5%72.1%52.2%126/165
smollm360m229MB
64.0%
41.0%40120 ms51.8%62.5%95.5%85.4%51.5%127/165
stablelm21.6b982 MB
54.3%
45.1%2171 ms54.1%61.6%100.0%81.1%51.3%128/165
qwen20.5b352 MB
56.0%
51.6%6729 ms60.7%58.9%93.8%74.3%51.3%129/165
qwen2.5-instruct1.54b1.1 GB
56.1%
50.0%3478 ms58.0%59.9%94.0%74.5%50.9%130/165
hf.co/second-state/Bielik-1.5B-v3.0-Instruct-GGUF:Q4_K_M1.6b0.97 GB
54.8%
47.7%5727 ms56.1%60.4%97.0%75.2%50.3%131/165
llama3.2-instruct1.0b807 MB
47.2%
45.8%3746 ms54.7%61.4%97.0%85.9%50.1%132/165
h2o-danube30.5b318 MB
51.2%
44.3%10128 ms53.5%61.6%100.0%81.7%49.9%133/165
deepseek-r1-distill-qwen1.5b1.1 GB
69.6%
39.3%9924 ms51.4%63.7%100.0%64.0%49.8%134/165
TinyDolphin1.1b636MB
54.0%
46.6%9229 ms56.3%60.9%100.0%70.7%49.6%135/165
smollm2:135m135m270 MB
69.3%
33.6%945 ms36.9%64.9%100.0%73.8%49.4%136/165
tinyllama:latest1.1b637MB
56.7%
46.0%8466 ms51.8%61.2%100.0%75.3%49.2%137/165
smollm135m91MB
56.8%
38.6%12748 ms49.9%63.5%100.0%78.2%49.1%138/165
olmo1b791 MB
46.3%
42.9%15029 ms52.4%62.5%100.0%83.5%48.7%139/165
qwen2.5-coder0.5b397MB
49.0%
46.9%7207 ms57.2%60.4%94.6%72.8%48.4%140/165
phi-4-mini-instruct4.0b2.5 GB
57.4%
48.5%70452 ms57.5%59.2%82.0%69.2%48.1%141/165
atlas-coder0.5b531 Mb
51.2%
40.4%157380 ms52.3%63.7%97.0%77.8%48.0%142/165
qwen1.50.5b394 MB
33.1%
47.9%723 ms56.3%60.4%97.0%75.3%47.4%143/165
entity12208/editorai:v21.5b941 MB
36.4%
39.7%574 ms51.8%57.0%100.0%58.9%46.7%144/165
falcon:7b-instruct7b4.2 GB
30.0%
48.5%513 ms54.8%60.1%100.0%66.6%46.0%145/165
sailor2:1b1b738MB
44.0%
41.8%7566 ms51.4%62.8%89.4%75.3%45.3%146/165
functiongemma270m (0.27b)300 MB
17.1%
46.6%2725 ms57.3%60.4%100.0%77.6%44.0%147/165
hf.co/dengcao/ERNIE-4.5-0.3B-PT-GGUF:Q4_K_M0.3b240MB
26.8%
32.0%341 ms43.6%65.5%100.0%69.5%41.7%148/165
ShieldGemma 2B2b1.7 GB
0.0%
7.1%669 ms25.7%57.5%100.0%100.0%41.0%149/165
KittyLM MiniCPM5 1B1b688 MB
14.8%
37.0%377 ms49.6%63.7%100.0%63.0%40.0%150/165
deepcoder:1.5b1.5b1.1 GB
30.7%
34.8%228 ms47.9%63.4%100.0%38.7%39.6%151/165
amd-olmo-1b-sft1b479mb
33.4%
27.5%62537 ms42.0%67.4%100.0%58.4%38.2%152/165
codegemma:2b2b1.6 GB
33.5%
35.0%6208 ms48.0%62.9%100.0%37.1%38.2%153/165
openelm0.45b289 MB
22.9%
34.3%11827 ms45.5%65.4%100.0%52.0%36.9%154/165
supra-50m-instruct0.0518b104 MB
37.3%
25.1%581 ms25.1%68.2%100.0%44.3%35.8%155/165
phi-33.8b2.2 GB
27.3%
20.0%9997 ms36.0%70.0%95.3%51.2%33.3%156/165
ernie-4.50.3b220mb
82.0%
20.7%3049 ms36.6%69.8%100.0%61.2%32.7%157/165
bloom560m539MB
35.8%
24.5%20277 ms38.9%68.8%97.0%24.8%32.4%158/165
bloom-560m0.8b1.6 GB
37.7%
22.7%7540 ms23.1%66.9%100.0%17.1%30.5%159/165
pythia0.41b267mb
21.7%
23.3%9333 ms33.8%69.0%100.0%32.5%30.2%160/165
asena-esp320.121b2.7 MB
19.7%
6.1%1677 ms24.9%74.5%100.0%47.2%28.3%161/165
willow-alpha0.3b176 MB
12.4%
11.9%303 ms29.6%71.7%100.0%31.3%28.2%162/165
Falcon3-3B-Instruct3b2gb
13.2%
9.7%1290 ms11.7%60.0%100.0%3.0%25.5%163/165
minicpm51.0b688 MB
0.0%
5.2%409 ms12.2%71.3%100.0%45.6%25.2%164/165
reader-lm:1.5b1.5b1.5GB
19.8%
20.7%837 ms21.9%13.2%18.7%22.4%17.6%165/165
iShowing 165 evaluated records from OpenVals Performance & Trust validation suite.
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