Substantial difference on number of features between qiime2-2019.7 and dada2-1.12.1

I suppose one more odd things is the ASV length distribution:

table(nchar(getSequences(seqtab)))
## 
## 270 272 273 274 275 276 277 278 279 280 281 282 283 284 285 287 288 289 290 291 292 293 294 295 296 
##  17   1   2   2   2  16   2  31  22 240   3   2   1   1   1   6   2   1   8  10  10  23   7  20  12 
## 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 
##  31  13  20  80  25  67  43 397 102 175 191 322 296 468 122 219  87 105 127 291 375 547 162 121 157 
## 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 
##  52  61  72  17 251 124 551 108 190 100 185  46  29  59  91  48   7   1   9  16  78 355   8  57   4 
## 348 354 357 358 360 361 362 369 370 374 379 380 382 384 385 389 390 392 393 399 400 401 404 405 407 
##   1   1   1   1   2   2   1   1   5   1   2   1   1   1   1   5   5   2   1   1   2   1   1   1   1 
## 409 410 412 413 418 420 425 426 427 428 431 434 435 437 438 439 441 447 451 452 467 469 470 476 480 
##   1   1   1   1   1   2   1   1   2   2   1   1   9   1   1   4   1   1   1   1   2   1   1   1   1 
## 482 484 488 
##   2   1   1

What amplicon are you targeting for this, does this much variation seem reasonable?