Company tracker 4 of 10 · 10 companies, one lens
xAI
The maker of the Grok models, tracked through the same six lenses as every company on AI Adoption.
Its best model, Grok 4.6, scores 156.6 on the Epoch Capabilities Index, #6 of 10, 12.2 behind Anthropic. Annualized revenue reached $428M by 30 Sep 2025, and its Jan 2026 round valued it at $230.0B. In March 2026, 4.5% of US adults said they had used Grok in the past week. It released 5 notable models in 2025, #5 of 10 by count.
37 ledger entries8 charts name xAILatest entry Aug 2026Checked 20 Oct 2026
xAI through six lenses
How the lenses work →The same six lenses, in the same order, on every company page. Each shows one comparable number where a source measures several companies the same way, its rank, and when it last changed.
01Capability#6 of 10
How good are its best models?
156.6
Epoch Capabilities Index score of its best model, Grok 4.6 (Aug 2026)
Epoch combines many benchmarks into one scale. 90% interval for this model: 154.7 to 159.2.
Text Arena, Mar 2026: 1,495, #2 of 8. Arena chart →
02Output#5 of 10
How much does it ship?
5
Notable AI models released in 2025
7 notable models from 2014 to 2025 and 2 in 2026 so far. Model record →
03Money#8 of 9
How much does it earn?
$428M
Annualized revenue, 30 Sep 2025
Period interpolation; Epoch rates the report “Likely”. Dates differ by company; each is its latest report. Ranked among the 9 companies in Epoch AI's revenue data.
Valuation $230.0B after its Jan 2026 round; $37.0B raised in equity in all; about 300 staff (Mar 2025).
04Compute#2 of 10
How much compute and energy goes into its AI?
5×10²⁶
FLOP: its largest training run with a published estimate, Grok 4 (Jul 2025)
Largest estimated training cost: $388M (Grok 4), Epoch AI. Model record →
Ranked among the 10 tracked companies. Only runs with a published estimate count, so a company that discloses less can rank lower.
Owns AI chips equal to about 0.55M H100s (Dec 2025), #7 of 7 named owners; had about 0.63M H100-equivalents available at the end of 2025, #5 of 5 labs. Epoch AI data →
05Use#5 of 7
Who uses it, and for what?
4.5%
of US adults said they used Grok in the past week, March 2026
Epoch AI with Ipsos, a probability-based sample of 2,021 US adults; 49.2% used no AI service. Among employed adults in July 2026: 3.3%.
06Safety & policy#1 of 9
How reliable is it, and how is it governed?
22%
hallucination rate of its most reliable model on AA-Omniscience, Grok 4.20 Beta 0305
Lower is better. Ranked among the tracked companies; the test covers 26 models. One reliability test: safety frameworks, evaluations and regulatory actions are logged as entries.
The ledger
What gets an entry →An entry goes in only if it changes a number or a position on one of the six lenses. If it moves nothing, it is not news here. Newest first.
August 2026
- 12 Aug 2026CapabilityNewGrok 4.6 scored 156.6 on the Epoch Capabilities Index, its best model#6 of the 10 tracked companies' best models; Anthropic's best scored 168.8. Epoch's 90% interval: 154.7 to 159.2.#6
July 2026
- Jul 2026UseNew3.3% of employed US adults said they had used Grok in the past weekProbability-based sample of 1,103 employed US adults, asked about work and personal use.
March 2026
- Mar 2026UseNew4.5% of US adults said they had used Grok in the past week#5 of the 7 services asked about that belong to tracked companies. 49.2% had used no AI service. Probability-based sample of 2,021 US adults.#5
2026 tests
- 2026 testSafety & policyNewIts most reliable model on AA-Omniscience, Grok 4.20 Beta 0305, had a 22% hallucination rateThe lowest of any model tested, and of the 9 tracked companies' best models. Rates across the 26 models tested ran from 22% to 94%.#1 of 9
March 2026
- Mar 2026CapabilityNewRose to #2 of 8 on the Text Arena, 8 points behind AnthropicAnthropic led at 1,503. The top four labs sat within 22 Arena points.#3 → #2
February 2026
- Feb 2026CapabilityNewFell to #3 of 8 on the Text Arena, 11 points behind AnthropicAnthropic led at 1,504. First to fourth spanned 23 points.#2 → #3
January 2026
- 6 Jan 2026MoneyNewClosed a funding round at a $230.0B post-money valuation, raising $20.0B in equity$230.0B
December 2025
- Dec 2025ComputeNewOwned AI chips equal to about 0.55 million Nvidia H100sEpoch's 90% range: 0.00M to 0.00M. #7 of the 7 owners Epoch lists by name.0.55M
End of 2025
- End of 2025ComputeNewHad compute equal to about 0.63 million H100s available at the end of 2025Owned or rented. Epoch's 90% range: 0.59M to 0.79M. #5 of 5 labs. Epoch labels this lab “SpaceXAI”; its estimate is built from the Colossus clusters.0.63M
2025, full year
- 2025OutputNewReleased 5 notable AI models in 2025, #5 by countOpenAI 21, Google 15, Alibaba 11. Epoch AI counts a model as notable if it was state of the art, highly cited or historically significant.#5
- 2025OutputNewGrok 3 and Grok 4 were the largest notable models of 2025, at an estimated 3 trillion parametersThe median notable model of 2025 had 135 billion.#1
November 2025
- Nov 2025CapabilityNewGrok 4.1 Fast (Reasoning) was the best model released in November 2025 on MathArena, at 86.4%A month later GPT-5.2 (high) scored 97%.#1
- Nov 2025CapabilityNewRose to #2 of 8 on the Text Arena, 10 points behind GoogleGoogle led at 1,492. First to fourth spanned 31 points.#6 → #2
October 2025
- Oct 2025CapabilityNewFell to #6 of 8 on the Text Arena, 32 points behind GoogleGoogle led at 1,452. First to fourth spanned 19 points.#5 → #6
September 2025
- 30 Sep 2025MoneyNewAnnualized revenue reached $428M, from $236M on 30 Jun 2025Period interpolation; Epoch rates the report “Likely”.+$192M
- Sep 2025CapabilityNewRose to #5 of 8 on the Text Arena, 28 points behind GoogleGoogle led at 1,453. First to fourth spanned 17 points.#6 → #5
August 2025
- Aug 2025CapabilityNewFell to #6 of 8 on the Text Arena, 34 points behind GoogleGoogle led at 1,461. First to fourth spanned 30 points.#4 → #6
2025, full year
- 2025ComputeNewTraining Grok 4 emitted an estimated 72,816 tonnes of CO₂ equivalentAgainst 0.01 tonnes for AlexNet in 2012.
July 2025
- 9 Jul 2025OutputNewGrok 4 released, trained with an estimated 5×10²⁶ FLOP5×10²⁶
- Jul 2025CapabilityNewRose to #4 of 8 on the Text Arena, 50 points behind OpenAIOpenAI led at 1,482. First to fourth spanned 50 points.#5 → #4
June 2025
- 30 Jun 2025MoneyNewAnnualized revenue reached $236M, from $172M on 31 Mar 2025Period interpolation; Epoch rates the report “Likely”.+$64M
- 30 Jun 2025MoneyNewClosed a funding round at a $150.0B post-money valuation, raising $5.0B in equity$150.0B
- Jun 2025CapabilityNewFell to #5 of 8 on the Text Arena, 58 points behind GoogleGoogle led at 1,472. First to fourth spanned 52 points.#4 → #5
May 2025
- May 2025CapabilityNewFell to #4 of 8 on the Text Arena, 80 points behind GoogleGoogle led at 1,492. First to fourth spanned 80 points.#2 → #4
March 2025
- 31 Mar 2025MoneyNewAnnualized revenue reached $172M, from $100M on 20 Nov 2024Period interpolation; Epoch rates the report “Likely”.+$72M
- 28 Mar 2025MoneyNewClosed a funding round at a $113.0B post-money valuation$113.0B
- Mar 2025CapabilityNewRose to #2 of 8 on the Text Arena, 30 points behind OpenAIOpenAI led at 1,441. First to fourth spanned 46 points.#7 → #2
February 2025
- 17 Feb 2025OutputNewGrok 3 released, trained with an estimated 3.5×10²⁶ FLOPAbout 12× its previous model in this data, Grok-2 (Aug 2024).3.5×10²⁶
- 17 Feb 2025ComputeNewTraining Grok 3 drew an estimated 110 MW of powerThe most of any model with published data.110 MW
- Feb 2025CapabilityNewFell to #7 of 8 on the Text Arena, 74 points behind OpenAIOpenAI led at 1,405. First to fourth spanned 33 points.#6 → #7
December 2024
- Dec 2024CapabilityNewFell to #6 of 8 on the Text Arena, 78 points behind OpenAIOpenAI led at 1,407. First to fourth spanned 56 points.#5 → #6
November 2024
- 20 Nov 2024MoneyNewClosed a funding round at a $45.0B post-money valuation, raising $6.0B in equity$45.0B
September 2024
- Sep 2024CapabilityNewFell to #5 of 8 on the Text Arena, 56 points behind OpenAIOpenAI led at 1,387. First to fourth spanned 53 points.#4 → #5
August 2024
- 13 Aug 2024OutputNewGrok-2 released, trained with an estimated 3×10²⁵ FLOPAbout 10× its previous model in this data, Grok-1 (Nov 2023).3×10²⁵
- Aug 2024CapabilityNewPlaced #4 of 8 on the Text Arena with 1,331 points, its first month in this seriesOpenAI led at 1,341. First to fourth spanned 10 points.#4
May 2024
- 27 May 2024MoneyNewClosed a funding round at a $24.0B post-money valuation, raising $6.0B in equity$24.0B
November 2023
- 4 Nov 2023OutputNewGrok-1 released, trained with an estimated 2.9×10²⁴ FLOP2.9×10²⁴
No entries match. Try another lens.
xAI's model record
Download the CSV →Every notable model Epoch AI has logged for xAI: 9 in all, 7 from 2014 to 2025 and 2 in 2026 so far. Training compute, cost and hardware are Epoch's estimates, shown only where it has one.
Notable models, 2014–20257#8 of 10 companies · Epoch AI's count, as in chart 1.1.7
Frontier models3#5 of 10 companies · marked frontier in Epoch AI's database
Open weights11%1 of 9 notable models since 2023
Largest estimated training cost$388M#1 of 10 companies · Grok 4 (Jul 2025), 2023 dollars
Largest training cluster200,000#1 of 8 companies · chips (type not given) · Grok 4
Notable models per year* 2026 to 19 Oct 2026
Notable models since 2023, newest first9 models
ReleasedModelAccessTraining computeEst. costTraining hardware
21 Sep 2026Grok 4.7API or hosted access———
17 Feb 2026Grok 4.20API or hosted access———
19 Nov 2025Grok 4.1 FastAPI or hosted access———
17 Nov 2025Grok 4.1API or hosted access———
10 Jul 2025Grok 4 HeavyUnreleased———
9 Jul 2025Grok 4 frontierAPI or hosted access5×10²⁶$388M200,000 chips (type not given)
17 Feb 2025Grok 3 frontierAPI or hosted access3.5×10²⁶$218M80,000 NVIDIA H100 SXM5 80GB
13 Aug 2024Grok-2 frontierAPI or hosted access3×10²⁵$32MNVIDIA H100 SXM5 80GB
4 Nov 2023Grok-1Open weights2.9×10²⁴——
Data: Epoch AI, Data on AI Models, snapshot 19 Oct 2026, CC BY 4.0. Organisations are grouped into companies as in chart 1.1.7 (for example, Google DeepMind and Google Brain count as Google). xAI's models as CSV.
xAI beside the others
All 10 companies →The same rows for every company. A dash means no source measures it for that company yet: gaps are shown, never filled with a guess. The small number is the rank among the companies in the full table that the source covers.
CapabilityEpoch Capabilities Index, its best model · data156.6#6168.8#1168.8#1166.4#3161.8#4130.5#10155.9#7157.4#5150.0#8146.0#9
MoneyAnnualized revenue, latest report · data$428M#5Sep 2025$50B#2Sep 2026$65B#1Jul 2026———$1B#3Sep 2026—$1B#3Sep 2026—
ComputeLargest training run with a published estimate, FLOP · chart5×10²⁶#2Grok 4, Jul 20259.4×10²⁶#1GPT-6 Astra, Sep 20263.4×10²⁵#5Claude 3.7 Sonnet, Feb 20255×10²⁵#4Gemini 1.0 Ultra, Dec 20235.2×10²⁵#3Llama 4 Behemoth (preview), Apr 20258.6×10²³#9Megatron-Turing NLG 530B, Oct 2021 (with Nvidia)9.7×10²⁴#8DeepSeek-V4-Pro, Apr 20261.5×10²⁵#7Qwen3-Max, Sep 20257.7×10²³#10Mixtral 8x7B, Dec 20231.8×10²⁵#6Nemotron-4 340B, Jun 2024
UseUS adults who used its assistant in the past week, Mar 2026 · data4.5%#531.0%#13.0%#620.9%#27.5%#410.5%#30.6%#7———
Safety & policyLowest hallucination rate of its models (lower is better) · chart22%#189%#826%#250%#387%#7—82%#489%#884%#683%#5
More measures · Epoch AI data
Model record · Epoch AI estimates
Notable models, 2014–2025Epoch AI's count, as in chart 1.1.77#861#313#7194#187#242#47#827#66#1030#5
Frontier modelsmarked frontier in Epoch AI's database3#515#23#533#15#33#50#80#80#84#4
Open weightsshare of its notable models since 202311%1 of 94%2 of 570%0 of 2214%8 of 5773%19 of 2633%2 of 6100%10 of 1075%24 of 3267%4 of 683%15 of 18
Largest estimated training cost2023 US dollars, among models Epoch has costed$388M#1Grok 4$366M#2GPT-4.5$26M#5Claude 3.5 Sonnet$31M#4Gemini 1.0 Ultra$53M#3Llama 3.1-405B$4M#9Megatron-Turing NLG 530B$7M#8DeepSeek-R1 (May 2025)$109K#10PLUG$14M#7Mistral Large$21M#6Nemotron-4 340B
Largest training clusterchips for one model, where Epoch records it200,000#1Grok 4100,000#2GPT-6 Astra—57,000#3Gemini 1.0 Ultra32,000#4Llama 4 Behemoth (preview)4,480#6Megatron-Turing NLG 530B2,048#7DeepSeek-V3 (Mar 2025)512#8CogView—6,144#5Nemotron-4 340B
Charts on AI Adoptionthat name the company8332223404714
Every chart that names xAI
All charts →8 charts across 4 hubs name xAI or one of its models. Each has its source and a CSV of its data.
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AI Companies →OpenAI168.8Epoch Capabilities Index65 ledger entriesOpen tracker →Anthropic168.8Epoch Capabilities Index61 ledger entriesOpen tracker →Google166.4Epoch Capabilities Index48 ledger entriesOpen tracker →Meta161.8Epoch Capabilities Index33 ledger entriesOpen tracker →Microsoft130.5Epoch Capabilities Index4 ledger entriesOpen tracker →DeepSeek155.9Epoch Capabilities Index35 ledger entriesOpen tracker →Alibaba157.4Epoch Capabilities Index33 ledger entriesOpen tracker →Mistral AI150.0Epoch Capabilities Index26 ledger entriesOpen tracker →Nvidia146.0Epoch Capabilities Index7 ledger entriesOpen tracker →
How the ledger works
- 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.
- 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.
- Evidence tier on every line. Independent measure, independent estimate or company data. A company's own claims are replaced when an independent score arrives.
- 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