For testing and analyzing your queries you can use Slow Log which allows to log query and fetch phases into a log file. It's highly configurable - you can define what it means "slow query" for each index.
Simple example for index named "sample" (for test purposes it will be logging with time set to "0s" - you can set your own threshold):
First close the index:
curl -X POST http://127.0.0.1:9200/sample/_close
Then configure the Slow Log:
curl -X PUT \
'http://127.0.0.1:9200/sample/_settings?preserve_existing=true' \
-d '{
"index.indexing.slowlog.threshold.index.debug" : "0s",
"index.search.slowlog.threshold.fetch.debug" : "0s",
"index.search.slowlog.threshold.query.debug" : "0s"
}'
Open the index:
curl -X POST http://127.0.0.1:9200/sample/_open
After executing the shorter query you provided in your post (I've got 5 shards and the query is executed against each of them):
[index.search.slowlog.query] [sample][1] took[594.1micros], ..., source[{"query":{"term":{"price":{"value":33,"boost":1.0}}}}],
[index.search.slowlog.query] [sample][3] took[649.4micros], ..., source[{"query":{"term":{"price":{"value":33,"boost":1.0}}}}],
[index.search.slowlog.query] [sample][4] took[575.6micros], ..., source[{"query":{"term":{"price":{"value":33,"boost":1.0}}}}],
[index.search.slowlog.query] [sample][2] took[1.2ms], ..., source[{"query":{"term":{"price":{"value":33,"boost":1.0}}}}],
[index.search.slowlog.query] [sample][0] took[4.3ms], ..., source[{"query":{"term":{"price":{"value":33,"boost":1.0}}}}],
...
After executing the longer query you provided in your post:
[index.search.slowlog.query] [sample][1] took[13.2ms], ..., source[{"query":{"constant_score":{"filter":{"term":{"price":{"value":33,"boost":1.0}}},"boost":1.0}}}],
[index.search.slowlog.query] [sample][4] took[13.2ms], ..., source[{"query":{"constant_score":{"filter":{"term":{"price":{"value":33,"boost":1.0}}},"boost":1.0}}}],
[index.search.slowlog.query] [sample][3] took[14.7ms], ..., source[{"query":{"constant_score":{"filter":{"term":{"price":{"value":33,"boost":1.0}}},"boost":1.0}}}],
[index.search.slowlog.query] [sample][2] took[15.5ms], ..., source[{"query":{"constant_score":{"filter":{"term":{"price":{"value":33,"boost":1.0}}},"boost":1.0}}}],
[index.search.slowlog.query] [sample][0] took[15.5ms], ..., source[{"query":{"constant_score":{"filter":{"term":{"price":{"value":33,"boost":1.0}}},"boost":1.0}}}],
...
Of course this is only a single attempt but it can be very useful for deeper tests and analysis.