Skip to Sidebar Skip to Content
10 trackers · 10 companies · six lenses

AI Companies

Where each AI company stands, seen through the same six lenses, with every change logged and sourced.
On the Epoch Capabilities Index the best models from Anthropic, OpenAI and Google sit within 2.4 points. Revenue is less even: Anthropic's annualized revenue reached $65B (Jul 2026) and OpenAI's $50B (Sep 2026). Use is led by ChatGPT: 31% of US adults used it in the past week in March 2026, against 21% for Gemini. Each company below is read through the same six lenses, and every change is logged with its source.
349 ledger entries10 trackers, 0 in preparationChecked 20 Oct 2026

Six lenses, the same for everyone

How the ledger works →
  1. CapabilityHow good are its best models?Epoch Capabilities Index, its best model
  2. OutputHow much does it ship?Notable AI models released in 2025
  3. MoneyHow much does it earn?Annualized revenue, latest report
  4. ComputeHow much compute and energy goes into its AI?Largest training run with a published estimate, FLOP
  5. UseWho uses it, and for what?US adults who used its assistant in the past week, Mar 2026
  6. Safety & policyHow reliable is it, and how is it governed?Lowest hallucination rate of its models (lower is better)

Every company, one table

Data sources →
One comparable number per lens, where a source measures several companies the same way. The small number is the rank among the companies in this table that the source covers. A dash is a gap in public data, never a zero.
CompanyCapabilityEpoch Capabilities IndexOutputNotable AI models released in 2025MoneyAnnualized revenueComputeLargest training run with a published estimateUseUS adults who used its assistant in the past weekSafety & policyLowest hallucination rate of its modelsChartsthat name it
OpenAI168.8#121#1$50B#2Sep 20269.4×10²⁶#1GPT-6 Astra, Sep 202631.0%#189%#833
Anthropic168.8#17#4$65B#1Jul 20263.4×10²⁵#5Claude 3.7 Sonnet, Feb 20253.0%#626%#222
Google166.4#315#2—5×10²⁵#4Gemini 1.0 Ultra, Dec 202320.9%#250%#323
xAI156.6#65#5$428M#5Sep 20255×10²⁶#2Grok 4, Jul 20254.5%#522%#18
Meta161.8#44#6—5.2×10²⁵#3Llama 4 Behemoth (preview), Apr 20257.5%#487%#74
Microsoft130.5#100#10—8.6×10²³#9Megatron-Turing NLG 530B, Oct 2021 (with Nvidia)10.5%#3—0
DeepSeek155.9#74#6$1B#3Sep 20269.7×10²⁴#8DeepSeek-V4-Pro, Apr 20260.6%#782%#44
Alibaba157.4#511#3—1.5×10²⁵#7Qwen3-Max, Sep 2025—89%#87
Mistral AI150.0#81#9$1B#3Sep 20267.7×10²³#10Mixtral 8x7B, Dec 2023—84%#61
Nvidia146.0#93#8—1.8×10²⁵#6Nemotron-4 340B, Jun 2024—83%#54
Lens sources: Capability · Output · Money · Compute · Use · Safety & policy. A dash is a gap in that source, never a zero.

The model record, side by side

Epoch AI data →
From Epoch AI's database of notable AI models, snapshot 19 Oct 2026. Cost and cluster size are Epoch's estimates for single models; a dash means it has none. Ranks are among these ten companies.
CompanyNotable models, 2014–2025Epoch AI's count, as in chart 1.1.7Frontier modelsmarked frontier in Epoch AI's databaseOpen weightsshare of its notable models since 2023Largest estimated training cost2023 US dollars, among models Epoch has costedLargest training clusterchips for one model, where Epoch records itAll modelsin the database
OpenAI61#315#24%2 of 57$366M#2GPT-4.5100,000#2GPT-6 Astra79
Anthropic13#73#50%0 of 22$26M#5Claude 3.5 Sonnet—22
Google194#133#114%8 of 57$31M#4Gemini 1.0 Ultra57,000#3Gemini 1.0 Ultra217
xAI7#83#511%1 of 9$388M#1Grok 4200,000#1Grok 49
Meta87#25#373%19 of 26$53M#3Llama 3.1-405B32,000#4Llama 4 Behemoth (preview)90
Microsoft42#43#533%2 of 6$4M#9Megatron-Turing NLG 530B4,480#6Megatron-Turing NLG 530B47
DeepSeek7#80#8100%10 of 10$7M#8DeepSeek-R1 (May 2025)2,048#7DeepSeek-V3 (Mar 2025)10
Alibaba27#60#875%24 of 32$109K#10PLUG512#8CogView37
Mistral AI6#100#867%4 of 6$14M#7Mistral Large—6
Nvidia30#54#483%15 of 18$21M#6Nemotron-4 340B6,144#5Nemotron-4 340B32

Latest in the ledgers

Every tracker →
The newest entries across all ten trackers. Each one moved a number or a rank on a lens.
  1. 12 Oct 2026MetaMuse Wonder scored 161.8 on the Epoch Capabilities Index, its best modelCapabilityIndependent measureEpoch AI, Benchmarking Hub#4
  2. 6 Oct 2026Mistral AIMistral Large 4 scored 150.0 on the Epoch Capabilities Index, its best modelCapabilityIndependent measureEpoch AI, Benchmarking Hub#8
  3. 30 Sep 2026OpenAIAnnualized revenue reached $50B, from $30B on 15 Jul 2026MoneyReported figureEpoch AI, AI Companies+$20B
  4. 30 Sep 2026GoogleGemini 4 Argon scored 166.4 on the Epoch Capabilities Index, its best modelCapabilityIndependent measureEpoch AI, Benchmarking Hub#3
  5. 24 Sep 2026DeepSeekAnnualized revenue reached $1B, from $450M on 14 Jul 2026MoneyReported figureEpoch AI, AI Companies+$550M
  6. 22 Sep 2026AnthropicClaude Opus 5.5 scored 168.8 on the Epoch Capabilities Index, its best modelCapabilityIndependent measureEpoch AI, Benchmarking Hub#1
  7. 15 Sep 2026Mistral AIClosed a funding round at a $24.0B post-money valuation, raising $3.5B in equityMoneyReported figureEpoch AI, AI Companies$24.0B
  8. 9 Sep 2026DeepSeekDeepSeek V4.1 Flash scored 155.9 on the Epoch Capabilities Index, its best modelCapabilityIndependent measureEpoch AI, Benchmarking Hub#7
  9. 9 Sep 2026DeepSeekDeepSeek V4.1 Flash released, trained with an estimated 4.3×10²⁴ FLOPOutputIndependent estimateEpoch AI4.3×10²⁴
  10. 8 Sep 2026Mistral AIAnnualized revenue reached $1B, from $400M on 31 Jan 2026MoneyReported figureEpoch AI, AI Companies+$600M
  11. 3 Sep 2026OpenAIGPT-6 Astra scored 168.8 on the Epoch Capabilities Index, its best modelCapabilityIndependent measureEpoch AI, Benchmarking Hub#1
  12. 3 Sep 2026OpenAIGPT-6 Astra released, trained with an estimated 9.4×10²⁶ FLOPOutputIndependent estimateEpoch AI9.4×10²⁶
A company gets a tracker once at least four of its six lenses have a sourced number. The others are shown here with what is measured so far.

How the ledger works

  1. One lens for everyone. Six lenses, same order, same definitions, for every company. No company gets an extra lens for a product it wants to talk about.
  2. Changes, not news. An entry must move a number or a rank on a lens. Launch events, interviews and hires do not count unless they do.
  3. Evidence tier on every line. Independent measure, independent estimate or company data. A company's own claims are replaced when an independent score arrives.
  4. Gaps stay visible. If no source measures a lens for a company, the page says so.
Disclosure: AI Adoption uses AI tools in its research and editorial work, including products from some of the companies tracked here. No company has any say in its page or its ledger, and the same rules apply to every company. Editorial standards · Data sources
Copied with its source. Want the next number like this in your inbox?Get Friday's numbers