The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
slug: string
name: string
fullName: string
baseName: string
variant: string
variantNote: string
familyKey: string
provider: string
providerSlug: string
family: string
releasedAt: timestamp[s]
knowledgeCutoff: timestamp[s]
contextWindow: int64
maxOutputTokens: int64
tokenizer: string
license: string
openWeights: bool
modalities: struct<input: list<item: string>, output: list<item: string>, label: string>
child 0, input: list<item: string>
child 0, item: string
child 1, output: list<item: string>
child 0, item: string
child 2, label: string
reasoning: struct<supported: bool, mandatory: bool, efforts: list<item: string>, defaultEffort: string>
child 0, supported: bool
child 1, mandatory: bool
child 2, efforts: list<item: string>
child 0, item: string
child 3, defaultEffort: string
capabilities: struct<tools: bool, structuredOutputs: bool, responseFormat: bool, moderated: bool, parameters: list (... 15 chars omitted)
child 0, tools: bool
child 1, structuredOutputs: bool
child 2, responseFormat: bool
child 3, moderated: bool
child 4, parameters: list<item: string>
child 0, item: string
pricing: struct<currency: string, unit: string, input: double, output: double, cachedInput: double, cacheWrit (... 908 chars omitted)
child 0, currency: string
child 1, unit: string
child 2, input: double
child 3, output: double
child 4, cachedInput: double
child 5, cacheWrite: double
child 6, cacheWrite1h: double
child 7, re
...
lers: int64
child 2, priced: int64
child 3, free: int64
child 4, tieredContext: int64
child 5, timeVarying: int64
child 6, openWeights: int64
child 7, withArenaScore: int64
child 8, withArenaCi: int64
child 9, withoutArenaScore: int64
child 10, withheldForLicence: int64
child 11, vendorCrossChecked: int64
child 12, retiring: int64
child 13, fetchedAt: timestamp[s]
child 14, oldestFetchedAt: timestamp[s]
description: string
$schema: string
resources: list<item: struct<name: string, path: string, format: string, mediatype: string, bytes: int64, hash: (... 81 chars omitted)
child 0, item: struct<name: string, path: string, format: string, mediatype: string, bytes: int64, hash: string, sc (... 69 chars omitted)
child 0, name: string
child 1, path: string
child 2, format: string
child 3, mediatype: string
child 4, bytes: int64
child 5, hash: string
child 6, schema: struct<fields: list<item: struct<name: string, type: string>>>
child 0, fields: list<item: struct<name: string, type: string>>
child 0, item: struct<name: string, type: string>
child 0, name: string
child 1, type: string
created: timestamp[s]
title: string
licenses: list<item: struct<name: string, path: string, title: string>>
child 0, item: struct<name: string, path: string, title: string>
child 0, name: string
child 1, path: string
child 2, title: string
homepage: string
to
{'$schema': Value('string'), 'name': Value('string'), 'title': Value('string'), 'description': Value('string'), 'version': Value('timestamp[s]'), 'created': Value('timestamp[s]'), 'homepage': Value('string'), 'licenses': List({'name': Value('string'), 'path': Value('string'), 'title': Value('string')}), 'sources': List({'title': Value('string'), 'path': Value('string'), 'license': Value('string')}), 'attribution': Value('string'), 'coverage': {'rows': Value('int64'), 'sellers': Value('int64'), 'priced': Value('int64'), 'free': Value('int64'), 'tieredContext': Value('int64'), 'timeVarying': Value('int64'), 'openWeights': Value('int64'), 'withArenaScore': Value('int64'), 'withArenaCi': Value('int64'), 'withoutArenaScore': Value('int64'), 'withheldForLicence': Value('int64'), 'vendorCrossChecked': Value('int64'), 'retiring': Value('int64'), 'fetchedAt': Value('timestamp[s]'), 'oldestFetchedAt': Value('timestamp[s]')}, 'resources': List({'name': Value('string'), 'path': Value('string'), 'format': Value('string'), 'mediatype': Value('string'), 'bytes': Value('int64'), 'hash': Value('string'), 'schema': {'fields': List({'name': Value('string'), 'type': Value('string')})}}), 'contentHash': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
slug: string
name: string
fullName: string
baseName: string
variant: string
variantNote: string
familyKey: string
provider: string
providerSlug: string
family: string
releasedAt: timestamp[s]
knowledgeCutoff: timestamp[s]
contextWindow: int64
maxOutputTokens: int64
tokenizer: string
license: string
openWeights: bool
modalities: struct<input: list<item: string>, output: list<item: string>, label: string>
child 0, input: list<item: string>
child 0, item: string
child 1, output: list<item: string>
child 0, item: string
child 2, label: string
reasoning: struct<supported: bool, mandatory: bool, efforts: list<item: string>, defaultEffort: string>
child 0, supported: bool
child 1, mandatory: bool
child 2, efforts: list<item: string>
child 0, item: string
child 3, defaultEffort: string
capabilities: struct<tools: bool, structuredOutputs: bool, responseFormat: bool, moderated: bool, parameters: list (... 15 chars omitted)
child 0, tools: bool
child 1, structuredOutputs: bool
child 2, responseFormat: bool
child 3, moderated: bool
child 4, parameters: list<item: string>
child 0, item: string
pricing: struct<currency: string, unit: string, input: double, output: double, cachedInput: double, cacheWrit (... 908 chars omitted)
child 0, currency: string
child 1, unit: string
child 2, input: double
child 3, output: double
child 4, cachedInput: double
child 5, cacheWrite: double
child 6, cacheWrite1h: double
child 7, re
...
lers: int64
child 2, priced: int64
child 3, free: int64
child 4, tieredContext: int64
child 5, timeVarying: int64
child 6, openWeights: int64
child 7, withArenaScore: int64
child 8, withArenaCi: int64
child 9, withoutArenaScore: int64
child 10, withheldForLicence: int64
child 11, vendorCrossChecked: int64
child 12, retiring: int64
child 13, fetchedAt: timestamp[s]
child 14, oldestFetchedAt: timestamp[s]
description: string
$schema: string
resources: list<item: struct<name: string, path: string, format: string, mediatype: string, bytes: int64, hash: (... 81 chars omitted)
child 0, item: struct<name: string, path: string, format: string, mediatype: string, bytes: int64, hash: string, sc (... 69 chars omitted)
child 0, name: string
child 1, path: string
child 2, format: string
child 3, mediatype: string
child 4, bytes: int64
child 5, hash: string
child 6, schema: struct<fields: list<item: struct<name: string, type: string>>>
child 0, fields: list<item: struct<name: string, type: string>>
child 0, item: struct<name: string, type: string>
child 0, name: string
child 1, type: string
created: timestamp[s]
title: string
licenses: list<item: struct<name: string, path: string, title: string>>
child 0, item: struct<name: string, path: string, title: string>
child 0, name: string
child 1, path: string
child 2, title: string
homepage: string
to
{'$schema': Value('string'), 'name': Value('string'), 'title': Value('string'), 'description': Value('string'), 'version': Value('timestamp[s]'), 'created': Value('timestamp[s]'), 'homepage': Value('string'), 'licenses': List({'name': Value('string'), 'path': Value('string'), 'title': Value('string')}), 'sources': List({'title': Value('string'), 'path': Value('string'), 'license': Value('string')}), 'attribution': Value('string'), 'coverage': {'rows': Value('int64'), 'sellers': Value('int64'), 'priced': Value('int64'), 'free': Value('int64'), 'tieredContext': Value('int64'), 'timeVarying': Value('int64'), 'openWeights': Value('int64'), 'withArenaScore': Value('int64'), 'withArenaCi': Value('int64'), 'withoutArenaScore': Value('int64'), 'withheldForLicence': Value('int64'), 'vendorCrossChecked': Value('int64'), 'retiring': Value('int64'), 'fetchedAt': Value('timestamp[s]'), 'oldestFetchedAt': Value('timestamp[s]')}, 'resources': List({'name': Value('string'), 'path': Value('string'), 'format': Value('string'), 'mediatype': Value('string'), 'bytes': Value('int64'), 'hash': Value('string'), 'schema': {'fields': List({'name': Value('string'), 'type': Value('string')})}}), 'contentHash': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Undominated AI model pricing and Arena scores
Snapshot of 405 model listings from 50 providers, measured 2026-08-31. Every row carries its own source URL and fetch date.
Produced by https://undominated.ai · scripts/build-export.mjs
What is in here
| Rows | 405 |
| Providers | 50 |
| Rows with a price | 400 |
| Rows priced at zero | 20 |
| Rows with context-tiered pricing | 55 |
| Rows with time-of-day pricing | 4 |
| Open-weight rows | 20 |
| Rows with an announced retirement date | 3 |
| Rows with an LMArena Elo | 134 |
| …of those, with a confidence interval | 134 |
| Rows cross-checked against a vendor pricing page | 42 |
What is not in here, and why
271 of 405 rows carry no quality score in this deposit — 67% of the file. That absence has two different causes and they are not interchangeable:
- 184 rows are unmeasured. Nobody has scored them.
- 87 rows were measured and the score is withheld here. It comes from Artificial Analysis, which this deposit may not redistribute. The model is not unmeasured; this file simply may not carry the number.
In neither case does null mean zero, and sorting either group to the bottom of a
ranking would defame a model on the strength of our licence rather than its
capability. Read null as "not stated here".
363 of 405 rows have no vendor cross-check. Their price came from the
OpenRouter listing and nothing else. provenance.enrichedBy is the vendor
document URL where a human checked one, and null where none did. Do not read
the presence of a price as confirmation of it.
No Artificial Analysis field is present. AA's free tier permits internal use
only; public redistribution requires a commercial licence this project does not
hold. Their intelligence, coding and agentic indices reach our internal dataset
because OpenRouter re-serves them, and passing through an aggregator does not
change the terms. The fence is an allowlist in scripts/build-export.mjs, so a
new AA field upstream is excluded by default rather than by remembering to
exclude it.
No model descriptions. Prose is somebody's copyright in a way a price is not.
Two upstream provider entries are withheld from every published surface: one is a test fixture in the upstream registry, the other serves a zero-priced model with no privacy policy. Neither is a real seller anyone can buy from.
Files
| File | What it is |
|---|---|
models.json |
Every exported field, nested, one object per listing. |
models.csv |
The 30 headline columns, flat. |
datapackage.json |
Frictionless-style manifest: schema, sources, and a SHA-256 per file. |
LICENSE.md |
Terms and required attribution. |
How it was measured
Prices are the vendor list rates as published, normalised to USD per million
tokens. Where a vendor charges different rates above a context threshold, every
rung of the ladder is kept in pricing.tiers — flattening a ladder to one rung
mispriced five models by up to 2× once, which is why the rungs are all here.
Where a vendor varies price by hour, pricing.priceWindows carries each window
with its own rates rather than a single averaged figure.
LMArena Elo is the highest-scoring Bradley-Terry row from the text arena, with
the reasoning effort that produced it in benchmarks.lmarenaEffort. A score
without its effort level is not comparable to another score; a model's rank
depends on how hard it was allowed to think. benchmarks.lmarenaCi carries
Arena's own confidence bounds, so two scores whose intervals overlap should be
read as a tie, not as a ranking.
How to cite
Undominated.ai (2026-08-31). Undominated AI model pricing and Arena scores. DOI assigned on deposit — see datapackage.json for the content hash that identifies this exact snapshot.
The manifest in datapackage.json carries a SHA-256 for every file and one
combined contentHash over all of them. Cite that hash and a reader can
confirm they are looking at the same bytes you were.
Licence
Arena-derived fields are CC BY 4.0 and carry a required attribution. Everything
else is set out in LICENSE.md. Read it before redistributing.
Corrections
This project publishes the claims it got wrong, dated, rather than quietly
editing them. The log is at https://undominated.ai/corrections/ and in
docs/EMPIRICAL-GROUNDING.md in the source repository. If you find an error in
this snapshot, it belongs in that log — say which row and which field.
- Downloads last month
- 9