GET

/v1/changes?provider=vercel&type=model.updated&cursor=MTc5MzY3ODQyNDo3OTZmOTJjMC1jMjdmLTQ0MDYtYjZjOC1mODUzYmFmMmNhZTk%3D

count 50order newest firstpage size 50
whentypesummaryprovider
12d agomodel.updated
deprecated true → false
vercel
12d agomodel.updated
deprecated true → false
vercel
12d agomodel.updated
deprecated true → false
vercel
12d agomodel.updated
deprecated true → false
vercel
12d agomodel.updated
sameAsModelId null → zai-glm-5-3-flashx-legal
vercel
12d agomodel.updated
factSources.pricingRange.sourceHash 5b88d6172e59b82d4ea1603ecf65c30c9419127048e4778b8708931ce41eec6e → 9fe1227c5d0d20494f9e986c3f81b3ee4f74bc6277ab0d12f5726fd73bd7b97c
pricingRange.inputPerMillion.min 0.3697 → 0.387
pricingRange.outputPerMillion.min 0.7395 → 0.783
pricingRange.routes.2.card.source.extractedAt 2026-10-28T04:00:23.000Z → 2026-11-02T04:00:23.000Z
+6 more
vercel
12d agomodel.updated
factSources.pricingRange.sourceHash 434cad8cb7f40bcd23424fe68c16a56fbfc476f18bcda3a295419b4e3f1e311f → 5d3b16fbb426c7f70053611225594dbd94c6f4d61c03dae149198fc3cf9bf6f8
pricingRange.inputPerMillion.min 0.119 → 0.14
pricingRange.outputPerMillion.min 0.238 → 0.28
pricingRange.routes.2.card.source.extractedAt 2026-10-24T04:00:24.000Z → 2026-11-02T04:00:23.000Z
+6 more
vercel
12d agomodel.updated
factSources.pricingRange.sourceHash ea2d256d124fb3e72e23aa11073f8d57746eee5c47aec67a7392b4ad74420bab → 5288859b0353173e212b873fa968ceb8a17d2a82d35fb62cc36e09e6364c9d4f
pricingRange.outputPerMillion.min 8.099 → 9.3388
pricingRange.routes.13.card.source.extractedAt 2026-11-01T04:00:23.000Z → 2026-11-02T04:00:23.000Z
pricingRange.routes.13.card.source.hash ecde67372e2106be434d766fcc724fa05b595dfd950c8c635dc5e265035c6610 → 0629d06deaba038e12745ce4b16b91363e760cab84ab5f3d2af84f05bd27d566
+2 more
vercel
12d agomodel.updated
factSources.pricingRange.sourceHash 2fe680a452326b69a3ba0ef7a9445858c36acae8ec7aa86d7794293cf0f9e37b → 6d3a1bc8c8f404ad81f618b847136c088f151a3781877dbd05ecd11ba7a121b1
pricingRange.inputPerMillion.min 0.0123 → 0.0285
pricingRange.outputPerMillion.min 0.125 → 0.0923
pricingRange.routes.14.card.source.extractedAt 2026-11-01T04:00:23.000Z → 2026-11-02T04:00:23.000Z
+6 more
vercel
13d agomodel.updated
deprecated true → false
vercel
13d agomodel.updated
deprecated true → false
vercel
13d agomodel.updated
factSources.pricingRange.sourceHash 3be24ac3822bdc70939ecbaaa4cf2eb8dfac0c8c5f0baddaf97c2872a2440875 → 2fe680a452326b69a3ba0ef7a9445858c36acae8ec7aa86d7794293cf0f9e37b
pricingRange.inputPerMillion.min 0.0216 → 0.0123
pricingRange.outputPerMillion.min 0.1238 → 0.125
pricingRange.routes.14.card.source.extractedAt 2026-10-31T04:00:24.000Z → 2026-11-01T04:00:23.000Z
+6 more
vercel
13d agomodel.updated
factSources.pricingRange.sourceHash d7e88374c12f305c538a5196610d347512dcda851169f4349db28f2eeccf3b93 → ea2d256d124fb3e72e23aa11073f8d57746eee5c47aec67a7392b4ad74420bab
pricingRange.inputPerMillion.min 0.1539 → 0.1824
pricingRange.outputPerMillion.min 10 → 8.099
pricingRange.routes.10.card.source.extractedAt 2026-10-30T04:00:24.000Z → 2026-11-01T04:00:23.000Z
+10 more
vercel
14d agomodel.updated
factSources.pricingRange.sourceHash 1c6d8ba45204e7d25caa56585e80ccc3155f88266ddf87554023961e822b229d → f620de58f6fa7b3ad07f1cf25f73ca6481fd86c2333deff29967cf776f1133f6
pricingRange.outputPerMillion.min 0.5 → 0.45
pricingRange.routes.1.card.source.extractedAt 2026-10-24T04:00:24.000Z → 2026-10-31T04:00:24.000Z
pricingRange.routes.1.card.source.hash f2d71c01f549aa1b400ac2da28a13c9480c50b783d2fcc242d4dc8f124b9f232 → cf5ac1fb3c44cc189560c3d97f63904dc4972a05ba70a1f82b4aed2ba1eb33f7
+5 more
vercel
14d agomodel.updated
factSources.pricingRange.path data.endpoints[status=0].pricing → data.endpoints[status=0].pricing; skipped status!=0: modal
factSources.pricingRange.sourceHash 89e6d9cba8241e68e88c6a0ef6949face5e2711212258146a40e618d68c5b0a4 → 403f7be10859130ddb8201e8420c97b88e95f92d009962ea4f6d5919d0d36e0f
pricingRange.inputPerMillion.max 1.2 → 1
pricingRange.outputPerMillion.max 5 → 4.05
+10 more
vercel
14d agomodel.updated
factSources.pricingRange.sourceHash 61091b9780954243146328b23e9585c3fc5ec39e38e48f966f51348d402fef5e → d7e88374c12f305c538a5196610d347512dcda851169f4349db28f2eeccf3b93
pricingRange.inputPerMillion.min 0.1529 → 0.1539
pricingRange.routes.13.card.source.extractedAt 2026-10-30T04:00:24.000Z → 2026-10-31T04:00:24.000Z
pricingRange.routes.13.card.source.hash 8a2a64618ba212235ca4e81960626b497aa630011cc5bcf06dd283a4744b9b6c → 5d933704415de57046372b63c06dbaf76e3bc87c0913b96726c4504aafdd3306
+4 more
vercel
14d agomodel.updated
factSources.pricingRange.path data.endpoints[status=0].pricing → data.endpoints[status=0].pricing; skipped status!=0: modal
factSources.pricingRange.sourceHash e59cbad98f7bca74d28f8a41c5ab27d13dc78ff9c23fcb0ff9bacb829d519f15 → 4e4af6a1d4696c64e7b0298d9fe2f41cb4c318f58c8713a6b96bbae6dec304c7
pricingRange.routes.3.model modal → novita
pricingRange.routes.3.provider modal → novita
+3 more
vercel
14d agomodel.updated
factSources.pricingRange.sourceHash 2745968e2caa171ff8e0bd399f6574472aebfdc068ab6b19c7a610fcef1e6db2 → 3be24ac3822bdc70939ecbaaa4cf2eb8dfac0c8c5f0baddaf97c2872a2440875
pricingRange.inputPerMillion.min 0.0375 → 0.0216
pricingRange.outputPerMillion.min 0.0701 → 0.1238
pricingRange.routes.14.card.source.extractedAt 2026-10-30T04:00:24.000Z → 2026-10-31T04:00:24.000Z
+13 more
vercel
14d agomodel.updated
deprecated true → false
vercel
15d agomodel.updated
maxOutput 1048576 → 262144
vercel
15d agomodel.updated
factSources.pricingRange.sourceHash 5afb30b35bdf5f39bff8c396b70c4b4a14e9dfdd39f8a929bac5bc585d74946e → 2745968e2caa171ff8e0bd399f6574472aebfdc068ab6b19c7a610fcef1e6db2
pricingRange.outputPerMillion.min 0.0771 → 0.0701
pricingRange.routes.14.card.source.extractedAt 2026-10-29T04:00:23.000Z → 2026-10-30T04:00:24.000Z
pricingRange.routes.14.card.source.hash 231810da4667c6f661db8370e6728aef4ee690e0bcc1049d90586538ac68ef32 → 5ee03ca07d176b27d6b51db08bb44de5d762382fcba44ee5d2b325272f27f2ed
+44 more
vercel
15d agomodel.updated
factSources.pricingRange.sourceHash b4fa32d36800820aa45b9db49b2f9d573053b48bf9d5014a44db7c550b1c56b7 → 73c9d0ffb2bf3c0c53ebc0534457fc3602211f44bb4ee706f5b234499595022c
pricingRange.routes.19.card.source.extractedAt 2026-10-24T04:00:24.000Z → 2026-10-30T04:00:24.000Z
pricingRange.routes.19.card.source.hash 353d08ad39c1d852e928bcd2e440220d9c01552e9cede76dcefa93fdd4fa04d4 → 513c5af949dac767517ba5734fc559f45dab8ee30f1fa82ee6f9f1728be61bde
pricingRange.routes.19.card.tables.rate.base.cache_read_tokens 2.6e-7 → 1.8e-7
+26 more
vercel
15d agomodel.updated
factSources.pricingRange.sourceHash 4e93f96a75e2f31af20a77804bbf54a4f38005695b333a0459a58a144605a700 → 61091b9780954243146328b23e9585c3fc5ec39e38e48f966f51348d402fef5e
pricingRange.inputPerMillion.min 0.1824 → 0.1529
pricingRange.outputPerMillion.max 20 → 15
pricingRange.outputPerMillion.min 9.3388 → 10
+31 more
vercel
15d agomodel.updated
factSources.pricingRange.sourceHash 93cf98c1d9d5c79d9032a814cb43c720014e58021dc9ba43d0b33f3733a0ba63 → 434cad8cb7f40bcd23424fe68c16a56fbfc476f18bcda3a295419b4e3f1e311f
pricingRange.routes.1.card.source.extractedAt 2026-10-29T04:00:23.000Z → 2026-10-30T04:00:24.000Z
pricingRange.routes.1.card.source.hash 3392739e35b30b5e839d0fe4bbc2eb16b1601f153bcdcde442ba5597a997093c → 92d5ef84f39474525b1c188ac0b89551eed9cfbb04919a2ea33d2542f5c29313
pricingRange.routes.1.card.tables.rate.base.cache_read_tokens 2.5e-9 → 2.8e-9
+4 more
vercel
16d agomodel.updated
reasoning.efforts.2 medium → high
reasoning.efforts.3 high → max
requestMap.thinking.levels.max null → max
requestMap.thinking.levels.medium medium → null
vercel
16d agomodel.updated
contextWindow 524288 → 1048576
vercel
16d agomodel.updated
releasedAt 1791244800 → 1793232000
vercel
16d agomodel.updated
pricing.tables.rate.base.cache_read_tokens $0.14/M → $0.07/M
pricing.tables.rate.base.input_tokens $1.36/M → $0.7/M
pricing.tables.rate.base.output_tokens $4.18/M → $2.1/M
vercel
16d agomodel.updated
factSources.pricingRange.sourceHash 91375af392777cde131141ce3b61fe762d9d5ef68f46c4ba1df5414f4d8a0bd9 → 4e93f96a75e2f31af20a77804bbf54a4f38005695b333a0459a58a144605a700
pricingRange.inputPerMillion.min 0.1605 → 0.1824
pricingRange.outputPerMillion.max 15.157 → 20
pricingRange.outputPerMillion.min 10.1583 → 9.3388
+21 more
vercel
16d agomodel.updated
factSources.pricingRange.sourceHash 434cad8cb7f40bcd23424fe68c16a56fbfc476f18bcda3a295419b4e3f1e311f → 93cf98c1d9d5c79d9032a814cb43c720014e58021dc9ba43d0b33f3733a0ba63
pricingRange.routes.1.card.source.extractedAt 2026-10-28T04:00:23.000Z → 2026-10-29T04:00:23.000Z
pricingRange.routes.1.card.source.hash 92d5ef84f39474525b1c188ac0b89551eed9cfbb04919a2ea33d2542f5c29313 → 3392739e35b30b5e839d0fe4bbc2eb16b1601f153bcdcde442ba5597a997093c
pricingRange.routes.1.card.tables.rate.base.cache_read_tokens 2.8e-9 → 2.5e-9
+4 more
vercel
16d agomodel.updated
factSources.pricingRange.sourceHash 97a75c6cb32b837713f010b9c8b4d1c9cd1ca6cf39f9f24abcfa53fee299c3cc → b504fcef8ee2ce9e28edeae79d877e019ce08cc4ae0455af4a176b5e99cb0c65
pricingRange.inputPerMillion.min 0.04 → 0.06
pricingRange.routes.6.card.source.extractedAt 2026-10-28T04:00:23.000Z → 2026-10-29T04:00:23.000Z
pricingRange.routes.6.card.source.hash 258f3b762c30bef7d4e4911e7bea2a0b489c2d057aed9413cb3a4ab97c06562c → 6e2f8e518e872460af0f4933683f0e7f14b7088778652f90b86e9341c38b92d4
+3 more
vercel
16d agomodel.updated
factSources.pricingRange.sourceHash cdc430c5f86d47b617134667c27d099d413bc9137d3fae6e56d04ca48bdbadd1 → 5afb30b35bdf5f39bff8c396b70c4b4a14e9dfdd39f8a929bac5bc585d74946e
pricingRange.outputPerMillion.min 0.0745 → 0.0771
pricingRange.routes.14.card.source.extractedAt 2026-10-28T04:00:23.000Z → 2026-10-29T04:00:23.000Z
pricingRange.routes.14.card.source.hash 0fc360eee3ddd4759be829078405d5ed1a53d08cae3eec9753d4a226b14fb0e2 → 231810da4667c6f661db8370e6728aef4ee690e0bcc1049d90586538ac68ef32
+11 more
vercel
17d agomodel.updated
maxOutput 262144 → 1000000
vercel
17d agomodel.updated
factSources.pricingRange.sourceHash 37f5c36f44d9a371c9b3761137e99d974a7335f3bb5cd5c3419f56cbd1851c8f → b4fa32d36800820aa45b9db49b2f9d573053b48bf9d5014a44db7c550b1c56b7
pricingRange.inputPerMillion.max 1.758 → 1.68
pricingRange.outputPerMillion.max 5.28 → 5.442
pricingRange.routes.13.card.source.extractedAt 2026-10-27T04:18:19.000Z → 2026-10-28T04:00:23.000Z
+6 more
vercel
17d agomodel.updated
factSources.pricingRange.sourceHash 140067bb889650ff38e853637cbdb8a5d938d7ef64ab7a511cb9dcc8451e37fc → 434cad8cb7f40bcd23424fe68c16a56fbfc476f18bcda3a295419b4e3f1e311f
pricingRange.inputPerMillion.min 0.091 → 0.119
pricingRange.outputPerMillion.min 0.182 → 0.238
pricingRange.routes.1.card.source.extractedAt 2026-10-24T04:00:24.000Z → 2026-10-28T04:00:23.000Z
+6 more
vercel
17d agomodel.updated
factSources.pricingRange.sourceHash bcf19082ee5a1a128af485f4371d68256fb3e8e4203a438660c8dced87311d92 → 6e512819155881f141e9b86c698b472210ea3c145c14c817f58977dd4723dcb7
pricingRange.routes.8.card.source.extractedAt 2026-10-24T04:00:24.000Z → 2026-10-28T04:00:23.000Z
pricingRange.routes.8.card.source.hash 97eb4ebd4be347eec349eeb689bd70678ad0e9d402e6d053b940e92c40e56a24 → 53b43d2338ef78b20d949f1982dd2857aa757eb806e9e6f7ca5d0022a36cc584
pricingRange.routes.8.card.tables.rate.base.cache_read_tokens 1.268e-7 → 1.206e-7
+4 more
vercel
17d agomodel.updated
factSources.pricingRange.sourceHash 7127a420fa5a7ce70e2e9de146ea02a86d98c63a5ba5c33c5c30f953bc63329c → 91375af392777cde131141ce3b61fe762d9d5ef68f46c4ba1df5414f4d8a0bd9
pricingRange.inputPerMillion.min 0.19 → 0.1605
pricingRange.outputPerMillion.max 28.125 → 15.157
pricingRange.outputPerMillion.min 8.94 → 10.1583
+21 more
vercel
17d agomodel.updated
factSources.pricingRange.sourceHash b504fcef8ee2ce9e28edeae79d877e019ce08cc4ae0455af4a176b5e99cb0c65 → 97a75c6cb32b837713f010b9c8b4d1c9cd1ca6cf39f9f24abcfa53fee299c3cc
pricingRange.inputPerMillion.min 0.06 → 0.04
pricingRange.routes.6.card.source.extractedAt 2026-10-24T04:00:24.000Z → 2026-10-28T04:00:23.000Z
pricingRange.routes.6.card.source.hash 6e2f8e518e872460af0f4933683f0e7f14b7088778652f90b86e9341c38b92d4 → 258f3b762c30bef7d4e4911e7bea2a0b489c2d057aed9413cb3a4ab97c06562c
+3 more
vercel
17d agomodel.updated
factSources.pricingRange.sourceHash 9fe1227c5d0d20494f9e986c3f81b3ee4f74bc6277ab0d12f5726fd73bd7b97c → 5b88d6172e59b82d4ea1603ecf65c30c9419127048e4778b8708931ce41eec6e
pricingRange.inputPerMillion.min 0.387 → 0.3697
pricingRange.outputPerMillion.min 0.783 → 0.7395
pricingRange.routes.2.card.source.extractedAt 2026-10-24T04:00:24.000Z → 2026-10-28T04:00:23.000Z
+6 more
vercel
17d agomodel.updated
factSources.pricingRange.sourceHash a19046117138d294ef00ca43f61088ce8fbb1109fc6dfa42ab48468264e2f7ff → cdc430c5f86d47b617134667c27d099d413bc9137d3fae6e56d04ca48bdbadd1
pricingRange.outputPerMillion.min 0.0758 → 0.0745
pricingRange.routes.10.card.tables.rate.base.cache_read_tokens 3e-8 → 1.8e-8
pricingRange.routes.10.card.tables.rate.base.input_tokens 1.5e-7 → 9e-8
+77 more
vercel
18d agomodel.updated
sameAsModelId null → openai-gpt-live-transcribe
vercel
18d agomodel.updated
sameAsModelId null → openai-gpt-transcribe
vercel
18d agomodel.updated
factSources.pricingRange.sourceHash 56ab33a9846430d58bea72bae2de70537446d4a90e4fe41bf2c404b41508235d → 1c6d8ba45204e7d25caa56585e80ccc3155f88266ddf87554023961e822b229d
pricingRange.routes.8 {…} → —
vercel
18d agomodel.updated
factSources.pricingRange.sourceHash ec5f814af0f8c3564751187a69e4a062f8e2858700ba16337162f88d4bd0ddc2 → 7127a420fa5a7ce70e2e9de146ea02a86d98c63a5ba5c33c5c30f953bc63329c
pricingRange.inputPerMillion.min 0.226 → 0.19
pricingRange.outputPerMillion.max 16.092 → 28.125
pricingRange.outputPerMillion.min 9.75 → 8.94
+21 more
vercel
18d agomodel.updated
factSources.pricingRange.sourceHash 89eaba95cfdb86077a4597dc55f6f6d186ae49ee40a0dcf27f2f8c4dfce4f91a → 37f5c36f44d9a371c9b3761137e99d974a7335f3bb5cd5c3419f56cbd1851c8f
pricingRange.inputPerMillion.max 1.68 → 1.758
pricingRange.inputPerMillion.min 0.179 → 0.0703
pricingRange.routes.13.card.source.extractedAt 2026-10-26T04:00:25.000Z → 2026-10-27T04:18:19.000Z
+13 more
vercel
18d agomodel.updated
factSources.pricingRange.sourceHash 3859723fa00a7b8f5dde0bda908af74496a16fdfd9dab34fff9cca773a4b7886 → a19046117138d294ef00ca43f61088ce8fbb1109fc6dfa42ab48468264e2f7ff
pricingRange.inputPerMillion.max 1.277 → 0.45
pricingRange.outputPerMillion.min 0.125 → 0.0758
pricingRange.routes.10.card.tables.rate.base.cache_read_tokens 1.8e-8 → 3e-8
+74 more
vercel
18d agomodel.updated
maxOutput 1000000 → 262144
vercel
19d agomodel.updated
reasoning.efforts.4 — → xhigh
reasoning.efforts.5 — → max
requestMap.thinking.levels.max null → max
requestMap.thinking.levels.xhigh null → xhigh
vercel
19d agomodel.updated
reasoning.efforts.4 — → xhigh
reasoning.efforts.5 — → max
requestMap.thinking.levels.max null → max
requestMap.thinking.levels.xhigh null → xhigh
vercel
19d agomodel.updated
sameAsModelId null → openai-gpt-6-1-terra
vercel