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PikaLab (September 2023)

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PikaLab (September 2023) is a closed-weights video model from Pika, released September 2023.

Catalogue identity notes

Pre-Pika 1.0 historical service (Table 1); not Pika 1.0 or current Pika. No current run option for this snapshot.

26.6±2.3comparison only: no current run option verifiedfrom 4 benchmark results across 1 source

$ how it compares

The video models ranked either side of PikaLab (September 2023), out of 139 with a score, then more from Pika.

#modelscorewhereRAMreleased
130Open-Sora 1.2 HPC-AI Tech27±3local~39GB2024-06
131Runway Gen-2 Runway27±2comparison only2023-06
132PikaLab (September 2023) Pika27±2comparison only2023-09
133VideoCrafter1 T2V Tencent AI Lab / HKUST26±2local~8.1GB2023-10
134Show-1 Show Lab / NUS25±2local~83GB2023-10
more from Pika
115Pika 2.2 Pika36±2api $0.040/sec2025-02
120Pika 1.0 Pika32±3comparison only2023-11

see all video models · find the ones that fit your machine

$ what it's good at

text to video▇▅▄▆█▆▇▂▃▃▂▄ #83 of 94 · 98% of its score · 4 tests

Beats ZeroScope v2 576w, Open-Sora 1.2 here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
EvalCrafter 2023 motion quality55.77 / 100 ✎▄····▄██··▄▄ beats 6/7very easy · avg 85.14 / 100▇▇▇▇▇▇▇▇▇▇ 26%at its level
EvalCrafter 2023 visual quality60.77 / 100 ✎▄█·····▄·█▄▄ beats 5/7very easy · avg 87.87 / 100▇▇▇▇▇▇▇▇▇▇ 25%at its level
EvalCrafter 2023 temporal consistency65.41 / 100 ✎▄···▄▄▄▄▄··█ beats 7/7very easy · avg 88.67 / 100▇▇▇▇▇▇▇▇▇▇ 24%at its level
EvalCrafter 2023 text-video alignment55.80 / 100 ✎▂··▂▃·····▂█ beats 2/7very easy · avg 87.86 / 100▇▇▇▇▇▇▇▇▇ 23%at its level

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · EvalCrafter: original 2023 te… 98%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
EvalCrafter: original 2023 text-to-video evaluations4▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 98%CC-BY-4.0
prior · pull toward the middle▇ 2%
weighted average= 26.6

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json