About and sources

ModelAtlas lists AI models, who serves them, in which regions and at what price. It is a static site built from public datasets that a build step merges and cross-checks. Nothing on a page is fetched live from a provider.

Prices are indicative. They can be stale, wrong, or missing options such as negotiated or committed-use pricing. Check the provider before you rely on a number. Found a mistake? Report incorrect data.

Who maintains it, and corrections

ModelAtlas is maintained through its GitHub repository, FilledVaccum/Model-Sub. The code, the curated data and every change to them are in its history.

Corrections. Every page has a “Report incorrect data” link at the bottom. It opens a GitHub issue that already names the page; add the correct value and a link to where you checked it. A correction goes into the curated data with that source link and the date it was checked. Raw source data is never edited by hand. The fix appears after the next rebuild. Without a source, a report is noted but the value is not changed.

Methodology

Sources and freshness

SourceUsed forLast updated
models.devBase catalogue and prices2026-10-19 14:54 UTC
LiteLLMBase catalogue and prices2026-10-19 14:54 UTC
genai-pricesPrices (third in precedence)2026-10-19 14:54 UTC
OpenRouterGateway catalogue, performance, parameters2026-10-19 14:54 UTC
Hugging FaceLicence, weights, parameters2026-10-20 03:37 UTC
Epoch AITraining compute, country, release dates2026-10-19 15:13 UTC
epoch-benchmarks2026-10-19 17:36 UTC
Vercel AI GatewayGateway listings2026-10-19 15:13 UTC
Hugging Face routerGateway listings2026-10-19 15:15 UTC
RequestyGateway listings2026-10-19 15:15 UTC
ChutesGateway listings2026-10-19 15:15 UTC
Curated overridesHand-checked overrides, each with a source URL2026-10-20 03:37 UTC

Dataset generated 2026-10-20 03:37 UTC: 2,612 models, 12,074 endpoints, 344 providers, 182 creators.

Attribution and licences

models.dev, LiteLLM and genai-prices are MIT licensed. Their copyright notices apply to the data derived from them.

Epoch AI, 'Data on AI models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models'. CC BY 4.0

Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks/use-this-data' [online resource]. Accessed 19 Oct 2026.

Provider logos from models.dev (MIT) or supplied by us; logos are trademarks of their owners and are used only to identify them.

How to read the data

Plans, pay-as-you-go and price kinds

Data quality

From the pipeline's report generated 2026-10-20 03:37 UTC. No blocking issues.

FIELD COVERAGE, SHARE OF ENDPOINTS WITH A VALUE

Pricing95.4%
Context window94.9%
Max output92.7%
Tool calling85%
Reasoning79.2%
Image input73.6%
Audio input68.9%
PDF input68.8%
Temperature68.6%
Video input67.8%
Attachments67.5%
Structured output61.3%
API base URL56.9%
Zero data retention (confirmed)19%
Supported parameters15.6%
Uptime / latency / throughput14.4%
Prompt caching13.1%
Quantization6%
System messages4.9%
Parallel tools3.9%
Web search2.6%
Assistant prefill2.4%
Computer use1.8%
Streaming1.7%
Regions1.3%
Audio output0.7%
Rate limit (requests/min)0.6%

Low coverage means mostly unknown, not mostly absent. Most fields are reported by only some sources.

PRICE AND CONTEXT COVERAGE BY TYPE

TypeEndpointsPricedWith context
chat105341020210327
other394394216
image generation279221160
embedding235218227
video generation1596633
transcription13813131
speech synthesis1189442
rerank553847
image edit444426
realtime413930
completion272626
decisions222220
ocr20180
moderation888

IDENTITY MATCHING

16,476 source rows were matched to canonical models. Match rate is 92.2% overall and 97.2% for models offered by more than one provider. 1287 rows matched below 0.8 confidence and 412 could not be matched to a creator.

Rows by match method
models.dev.canonical6085
rule.vendor-path2590
openrouter.canonical2445
rule.lab-provider1411
rule.family-prefix+corroborated1257
rule.family-prefix773
rule.creator-hint692
unmatched412
rule.glued-prefix125
rule.slug-lookup88
rule.creator-hint+merge63
rule.glued-prefix+corroborated60
rule.vendor-path+collapse-punctuation55
alias52
models.dev.canonical+merge50
rule.hosted-family44
rule.vendor-path+merge41
openrouter.canonical+merge38
rule.family-prefix+collapse-punctuation29
rule.family-prefix+collapse-punctuation+corroborated26
rule.family-prefix+merge21
rule.creator-hint+corroborated20
rule.creator-hint+collapse-punctuation20
rule.lab-provider+merge18
models.dev.canonical+refused-snapshot15
models.dev.canonical+refused-qualifier11
rule.family-prefix+corroborated+merge10
rule.lab-provider+collapse-punctuation7
rule.creator-hint+collapse-punctuation+merge6
rule.glued-prefix+collapse-punctuation2
models.dev.canonical+refused-version-added2
models.dev.canonical+refused-qualifier+merge2
models.dev.canonical+collapse-punctuation2
openrouter.canonical+collapse-punctuation2
models.dev.canonical+refused-version1
rule.glued-prefix+collapse-punctuation+corroborated1

ENRICHMENT COVERAGE, SHARE OF 2,612 MODELS

Licence29011.1%
Weights link30711.8%
Parameter count36714.1%
Developer country33312.7%
Training compute (Epoch estimate)873.3%

Applied by source: Hugging Face router 0 models, 18 endpoints; Requesty 0 models, 347 endpoints; Vercel AI Gateway 0 models, 667 endpoints; Chutes 0 models, 14 endpoints; epoch-benchmarks 151 models, 0 endpoints; Epoch AI 334 models, 0 endpoints; Hugging Face 307 models, 0 endpoints; Curated overrides 34 models, 1709 endpoints.

PRICE OUTLIERS

139 of 6,432 examined price points are flagged as outliers against comparable endpoints; they stay visible but are kept out of ranges.