Models

102 models, one API key. Compare them by what they do and what they cost.

CompareModelPrecisionCapabilities
500K$2.16$6.48$0.54
100%
32K$0.0567$0.00—
100%
1M$0.1048$0.3141—fp435tok/s1.24s
100%
1M$13.50$67.50$1.3525tok/s1.52s
40.5%
1M$1.013
$2.026
$5.063
$10.126
—33tok/s2.05s
99.4%
1M$1.688$5.738—
1M$13.50$67.50—13tok/s3.14s
77.3%
—$0.006075 / min5.1×rt2.17s
100%
—$0.00675 / min2.5×rt4.11s
78.2%
1M$0.2045$0.641—33tok/s3.05s
91.8%
1M$0.1791$0.5972—30tok/s2.41s
99.7%
1M$0.2514$0.7542—46tok/s1.97s
96.7%
1M$1.178$3.702—28tok/s3.09s
99.1%
1M$0.3576$2.554—37tok/s2.88s
95.5%
1M$1.013
$2.026
$5.063
$10.126
$0.05062580tok/s2.88s
96.1%
500K$2.758$8.274—59tok/s5.39s
90.9%
131K$0.405$1.62—76tok/s3.63s
96.5%
1M$1.773$6.025—105tok/s4.23s
95.5%
1M$2.228$6.684$0.278128tok/s2.77s
100%
1M$0.1859$0.3718—24tok/s3.96s
98.0%
1M$0.0504$0.2187$0.008191tok/s4.34s
96.1%
1M$6.75$33.75$0.67522tok/s1.76s
85.4%
1M$1.013$5.063$0.1012526tok/s2.54s
94.5%
1M$0.405$3.375$0.040547tok/s1.26s
100%
1M$1.542$5.243—176tok/s1.98s
87.2%
1M$3.768$18.837$0.40549tok/sfrom traffic, 7d3.14sfrom traffic, 7d
96.1%
1M$2.70
$5.40
$13.50
$27.00
$0.337554tok/s3.70s
91.5%
1M$3.151
$5.40
$15.753
$27.00
$0.39387527tok/s1.80s
96.2%
1M$2.70$16.20$0.2767tok/s3.12s
91.1%
1M$2.70$16.20$0.2735tok/s1.33s
84.9%
1M$0.3127$1.877$0.02780tok/sfrom traffic, 7d4.34sfrom traffic, 7d
97.3%
1M$0.1548$0.9288$0.02771tok/s3.35s
87.2%
500K$2.73$8.189—49tok/s2.39s
95.8%
262K$0.108$0.4455—67tok/s4.69s
95.3%
1M$2.70$13.50$0.2720tok/s3.94s
89.2%
1M$1.101$3.76$0.29835fp4 · fp873tok/s2.67s
100%
262K$1.009$4.774—32tok/s2.97s
100%
1M$13.50$67.50—14tok/s3.10s
87.7%
1M$0.675$3.375$0.135fp4 · fp837tok/s2.95s
100%
1M$0.4431$1.773$0.086478tok/s17.41s
96.6%
1M$0.405$1.62$0.0756fp4 · fp835tok/s1.84s
99.7%
256K$0.27$1.552$0.054fp870tok/s2.56s
100%
1M$1.863$5.586$0.1687566tok/s12.97s
93.8%
256K$1.389$2.777$0.2792tok/s3.19s
90.9%
1M$1.928$11.563$0.2025115tok/s2.27s
99.8%
1M$1.92$3.838$0.2773tok/s2.68s
93.2%
1M$0.1264$0.2526$0.024324tok/s1.71s
100%
—$0.072 / image36s/img36.22s
81.7%
262K$0.7856$3.667—29tok/s1.55s
97.4%
1M$6.75$33.75$0.67525tok/s1.57s
91.1%
203K$1.89$5.94$0.27675fp4 · fp828tok/s13.75s
93.2%
1M$0.454$2.724—53tok/s10.93s
98.7%
128K$0.0763$0.218$0.135fp4 · fp88tok/s6.71s
99.7%
2M$1.767$3.534—378tok/s6.41s
91.1%
2M$1.763$3.528—37tok/s1.19s
91.1%
205K$0.405$1.62—52tok/s5.52s
100%
—$0.061 / image11s/img10.88s
1M$2.70$16.20$0.2794tok/s4.70s
100%
—$0.108 / image
1M$4.05$20.25$0.40530tok/s1.90s
95.8%
—$0.054 / image13s/img13.11s
—$0.3375 / image
197K$0.405$1.62—74tok/s3.33s
97.8%
203K$0.081$0.54$0.0135fp849tok/s5.35s
98.0%
1M$0.675$4.05$0.067537tok/s1.55s
99.5%
—$0.002592 / min
160K$0.518$0.7571—fp413tok/s1.17s
93.0%
—$0.0405 / image13s/img12.79s
200K$1.35$6.75$0.13539tok/s1.50s
98.5%
2K$0.0027$0.00—1096tok/s0.37s
100%
128K$0.0494$0.2406—28tok/s4.40s
98.7%
131K$0.1945$1.272$0.03375fp836tok/s3.38s
100%
131K$0.3586$1.629$0.135fp4 · fp847tok/s1.13s
99.6%
33K$0.0135$0.00—310tok/s1.30s
100%
33K$0.0135$0.00—1145tok/s0.35s
100%
33K$0.027$0.00—1105tok/s0.36s
100%
41K$0.135$0.00—
—$0.054 / image
33K$0.108$0.378—28tok/s23.77s
77.1%
1M$0.27$1.08—fp836tok/s1.02s
100%
—$0.07 / 1K char40ch/s3.15s
82.9%
—$0.04 / 1K char41ch/s3.10s
84.6%
—$0.081 / image
200K$4.05$20.25—26tok/s1.82s
93.8%
127K$1.35$1.35—29tok/s1.50s
95.7%
—$0.005 / image30s/img30.45s
98.5%
64K$0.7425$2.957—58tok/s1.57s
100%
128K$0.135$0.432—14tok/s1.10s
89.8%
—$0.2025 / 1K char93ch/s1.36s
—$0.0009 / min8.4×rt1.20s
99.3%
131K$1.35$1.35—fp817tok/s0.96s
100%
131K$0.945$0.945—fp822tok/s0.84s
100%
—$0.2025 / 1K char101ch/s1.25s
—$0.00405 / min4.2×rt2.39s
99.6%
1K$0.0135$0.00—451tok/s1.14s
100%
8K$0.0135$0.00—1208tok/s0.43s
100%
1K$0.0135$0.00—1434tok/s0.28s
100%
1K$0.00675$0.00—1549tok/s0.26s
100%
—$0.405 / 1K char51ch/s2.49s
100%
1K$0.00675$0.00—556tok/s0.72s
100%
1K$0.00675$0.00—15tok/s8.92s
100%
1K$0.00675$0.00—258tok/s0.99s
100%

Token models priced per 1M tokens. The cached column is what a repeated prompt prefix costs on that model — a rate of its own, read from the same source as the input rate beside it, not a fixed fraction of it. It runs from a tenth of the input rate to the full input rate depending on the model, and a dash means nobody publishes one, which is a different statement from “free”. Image, video, and audio models priced per unit (image, second, video, minute, song, call, or 1K characters). Throughput and latency are a probe with an identical input when Kyma has that sample. If a row is labeled “from traffic, 7d”, that number is production traffic instead — real prompts, not comparable across models. Image throughput is seconds per succeeded job (30-day median). Video, music and realtime stay empty until a job exists. An empty throughput, latency or uptime cell means Kyma does not yet have a number for that cell. Uptime is a percentage only after 20 observations, over 30 days, probes and real requests together, including Kyma's own accounts. Rankings demand is the same total. Precision names the numeric formats a model may be served at that are BELOW the one its creator released it in, and it is filled on the 14 models where that is true. A low format is not a downgrade when it is how the model shipped, so this is a comparison against the creator’s own model card rather than a list of small numbers. An empty precision cell means there is nothing to flag: either no route reports going under the release, or nobody could source what the release was. Those two are different answers and the model’s own page prints which one it is.

Start building with Kyma API

$0.50 signup credit for eligible free-tier models after email verification.

Create account