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Benchmark Explorer

TPUWeight
dtype
I/O
dtype
Cosmos3 Edge (4B)T2V832x480TPU v4bf16bf162.909274.80.44017.215FlyingGiraffe
CogVideoX 2BT2V720x480TPU v4bf16bf164.230519.20.09417.185FlyingGiraffe
LTX-2.5 22B (distilled)T2V1216x704TPU v4bf16bf164.663215.00.56315.355FlyingGiraffe
LTX-Video 13B (dev)T2V1216x704TPU v4bf16bf165.200347.60.34815.275FlyingGiraffe
LTX-Video 2B (distilled)T2V1216x704TPU v4bf16bf165.916162.60.7448.845FlyingGiraffe
Wan2.1 1.3BT2V832x480TPU v4bf16bf166.965456.40.17710.195FlyingGiraffe
Cosmos3 Nano (16B)T2V1280x704TPU v4bf16bf167.141437.50.21329.495FlyingGiraffe
LTX-2.5 22B (dev)T2V1216x704TPU v4bf16bf167.262409.70.29516.695FlyingGiraffe
CogVideoX 5BI2V720x480TPU v4bf16bf169.413851.10.05823.335FlyingGiraffe
CogVideoX 5BT2V720x480TPU v4bf16bf169.413835.30.05923.185FlyingGiraffe
Wan2.2 TI2V-5BT2V1280x704TPU v4fp32bf1610.518649.70.18618.295FlyingGiraffe
Wan2.2 TI2V-5BI2V800x1088TPU v4fp32bf1612.068665.40.18218.265FlyingGiraffe
LTX-Video 13B (distilled)T2V1216x704TPU v4bf16bf1613.028300.60.40315.275FlyingGiraffe
Wan2.1 14BT2V832x480TPU v4bf16bf1626.1361552.90.05217.175FlyingGiraffe
Wan2.1 14BI2V544x720TPU v4bf16bf1628.1321372.10.05922.085FlyingGiraffe
Cosmos-Predict2.5 2BT2V1280x704TPU v4bf16bf1638.7791497.30.06216.035FlyingGiraffe
Wan2.2 A14BT2V832x480TPU v4fp32bf1643.1822408.20.03428.385FlyingGiraffe
Wan2.2 A14BI2V544x720TPU v4fp32bf1644.4992063.20.03928.355FlyingGiraffe
Wan2.2 A14BI2V832x1104TPU v4fp32bf1649.0622163.70.01520.525FlyingGiraffe
CogVideoX1.5 5BI2V1360x768TPU v4bf16bf1652.7963400.80.02431.455FlyingGiraffe
CogVideoX1.5 5BT2V1360x768TPU v4bf16bf1652.7963380.20.02431.465FlyingGiraffe
LTX-2.5 22B (dev, diffusion VAE)T2V1216x704TPU v4bf16bf1695.3203444.30.03516.115FlyingGiraffe
HunyuanVideo-1.5 8.3B (480p)I2V544x720TPU v4bf16bf16112.8803838.10.03231.445FlyingGiraffe
HunyuanVideo-1.5 8.3B (480p)T2V832x480TPU v4bf16bf16119.4594015.20.03029.145FlyingGiraffe
Wan2.1 14BT2V1280x720TPU v4fp32bf16123.0116562.90.01223.005FlyingGiraffe
Wan2.1 14BI2V832x1104TPU v4fp32bf16127.2495651.60.01432.705FlyingGiraffe
Cosmos-Predict2.5 14BT2V1280x704TPU v4bf16bf16127.9884577.10.02014.705FlyingGiraffe
HunyuanVideo-1.5 8.3B (720p)I2V832x1104TPU v4bf16bf16219.1867125.00.01732.005FlyingGiraffe
HunyuanVideo-1.5 8.3B (720p)T2V1280x720TPU v4bf16bf16220.9937133.50.01730.285FlyingGiraffe
HunyuanVideo 13BT2V1280x720TPU v4bf16bf16299.61415620.70.00818.405FlyingGiraffe
HunyuanVideo 13BI2V832x1088TPU v4bf16bf16306.36916007.40.00818.415FlyingGiraffe
LTX-2.5 22B (distilled, diffusion VAE)T2V1216x704TPU v4bf16bf16335.0953247.40.03714.765FlyingGiraffe

Resolution is always width×height. T2V rows are landscape (width > height); I2V rows are portrait (height > width) — output resolution is derived from the standardized conditioning image's own aspect ratio, not a fixed size. The exception is CogVideoX-5b-I2V and CogVideoX1.5-5B-I2V, which are locked to one fixed generation resolution (same as their T2V sibling) and rescale the rendered video to the conditioning image's aspect ratio afterward — their rows show that fixed generation resolution, not the final rescaled output size.

Submit Your Own Results

Ran vidax on hardware not covered above, or want to add a newer model/config? Submit the following form to add your results. Every row shows its contributor linked to their GitHub profile.

The form covers one result at a time. Submitting several at once (or you already have them in this shape)? Skip the individual fields and paste a JSON array into the form's Bulk JSON field instead — each object:

[
  {
    "family": "Wan2.1",
    "version": "2.1",
    "size": "1.3b",
    "sizeLabel": "1.3B",
    "task": "T2V",
    "resolution": "832x480",
    "numFrames": 81,
    "numSteps": 50,
    "jaxVersion": "0.11.0",
    "deviceKind": "TPU v7",
    "deviceTopology": "2x2x4",
    "tensorParallelSize": 2,
    "sequenceParallelSize": 1,
    "ioDtype": "bf16",
    "weightDtype": "bf16",
    "numRuns": 1,
    "compileS": 62.1,
    "perStepS": 2.41,
    "wallS": 168.3,
    "peakHbmGb": 9.8
  }
]