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Mistral AI

The maker of the Mistral models, tracked through the same six lenses as every company on AI Adoption.
Its best model, Mistral Large 4, scores 150.0 on the Epoch Capabilities Index, #8 of 10, 18.8 behind Anthropic. Annualized revenue reached $1B by 8 Sep 2026, and its Sep 2026 round valued it at $24.0B. It released 1 notable models in 2025, #9 of 10 by count. Its largest training run with a published estimate, Mixtral 8x7B, used 7.7×10²³ FLOP.
Follow Mistral AICompare with the others
26 ledger entries1 charts name Mistral AILatest entry Oct 2026Checked 20 Oct 2026

Mistral AI 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#8 of 10
How good are its best models?
150.0
Epoch Capabilities Index score of its best model, Mistral Large 4 (Oct 2026)
Anthropic168.8OpenAI168.8Google166.4Meta161.8Mistral AI150.0
Epoch combines many benchmarks into one scale. 90% interval for this model: 146.9 to 152.7.
Text Arena, Mar 2026: 1,416, #7 of 8. Arena chart →
Independent measureChanged Oct 2026Epoch AI data →
02Output#9 of 10
How much does it ship?
1
Notable AI models released in 2025
OpenAI21Google15Alibaba11Anthropic7Mistral AI1
6 notable models from 2014 to 2025 and 0 in 2026 so far. Model record →
Independent measureChanged 2025View chart →
03Money#4 of 9
How much does it earn?
$1B
Annualized revenue, 8 Sep 2026
Anthropic$65BOpenAI$50BZ.ai (Zhipu)$1.6BDeepSeek$1BMistral AI$1B
Annual recurring revenue (ARR); Epoch rates the report “Confident”. Dates differ by company; each is its latest report. Ranked among the 9 companies in Epoch AI's revenue data.
Valuation $24.0B after its Sep 2026 round; $6.5B raised in equity in all; about 350 staff (Sep 2025).
Reported figureChanged Sep 2026Epoch AI data →
04Compute#10 of 10
How much compute and energy goes into its AI?
7.7×10²³
FLOP: its largest training run with a published estimate, Mixtral 8x7B (Dec 2023)
OpenAI9.4×10²⁶xAI5×10²⁶Meta5.2×10²⁵Google5×10²⁵Mistral AI7.7×10²³
Largest estimated training cost: $14M (Mistral Large), 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.
Independent estimateChanged Dec 2023View chart →
05Use
Who uses it, and for what?
Not measured yet
No Mistral AI service in the Epoch AI / Ipsos poll
The poll asks about ChatGPT, Claude, Gemini, Copilot, Grok, Meta AI and DeepSeek.
How a lens gets a number →
06Safety & policy#6 of 9
How reliable is it, and how is it governed?
84%
hallucination rate of its most reliable model on AA-Omniscience, Mistral Large 3
xAI22%Anthropic26%Google50%DeepSeek82%Mistral AI84%
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.
Independent measureChanged 2026View chart →

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.

  1. October 2026

    1. 6 Oct 2026CapabilityNewMistral Large 4 scored 150.0 on the Epoch Capabilities Index, its best model#8 of the 10 tracked companies' best models; Anthropic's best scored 168.8. Epoch's 90% interval: 146.9 to 152.7.Independent measureEpoch AI, Benchmarking HubEpoch AI data →#8

  2. September 2026

    1. 15 Sep 2026MoneyNewClosed a funding round at a $24.0B post-money valuation, raising $3.5B in equityReported figureEpoch AI, AI CompaniesEpoch AI data →$24.0B
    2. 8 Sep 2026MoneyNewAnnualized revenue reached $1B, from $400M on 31 Jan 2026Annual recurring revenue (ARR); Epoch rates the report “Confident”.Reported figureEpoch AI, AI CompaniesEpoch AI data →+$600M

  3. 2026 tests

    1. 2026 testSafety & policyNewIts most reliable model on AA-Omniscience, Mistral Large 3, had a 84% hallucination rate#6 of 9 tracked companies; xAI's best was 22%. Rates across the 26 models tested ran from 22% to 94%.Independent measureArtificial AnalysisView chart →#6 of 9

  4. March 2026

    1. Mar 2026CapabilityNewStill #7 of 8 with 1,416; the top four labs sat within 22 Arena pointsAnthropic 1,503, xAI 1,495, Google 1,494, OpenAI 1,481. In May 2023 the leader was 205 points clear.Independent measureArenaView chart →#7

  5. January 2026

    1. 31 Jan 2026MoneyNewAnnualized revenue reached $400M, from $100M on 11 Jun 2025Annualized run rate; Epoch rates the report “Likely”.Reported figureEpoch AI, AI CompaniesEpoch AI data →+$300M

  6. September 2025

    1. 9 Sep 2025MoneyNewClosed a funding round at a $13.7B post-money valuation, raising $2.0B in equityReported figureEpoch AI, AI CompaniesEpoch AI data →$13.7B

  7. 2025 studies

    1. 2025 studyCapabilityNewMistral Medium 3.1 fell from 90.0% on standard Slovenian to 53.2% on the Cerkno dialectGPT-5 fell from 99.8% to 88.6%. 8 of 12 models tested fell below 60%.Independent measureSlovene DIALECT-COPA benchmark leaderboardView chart →−36.8 pts

  8. June 2025

    1. Jun 2025CapabilityNewFell to #7 of 8 on the Text Arena, 88 points behind GoogleGoogle led at 1,472. First to fourth spanned 52 points.Independent measureArenaView chart →#6 → #7

  9. May 2025

    1. May 2025CapabilityNewRose to #6 of 8 on the Text Arena, 111 points behind GoogleGoogle led at 1,492. First to fourth spanned 80 points.Independent measureArenaView chart →#8 → #6

  10. December 2024

    1. Dec 2024CapabilityNewFell to #8 of 8 on the Text Arena, 97 points behind OpenAIOpenAI led at 1,407. First to fourth spanned 56 points.Independent measureArenaView chart →#7 → #8

  11. October 2024

    1. Oct 2024CapabilityNewFell to #7 of 8 on the Text Arena, 75 points behind OpenAIOpenAI led at 1,384. First to fourth spanned 50 points.Independent measureArenaView chart →#6 → #7

  12. August 2024

    1. Aug 2024CapabilityNewFell to #6 of 8 on the Text Arena, 30 points behind OpenAIOpenAI led at 1,341. First to fourth spanned 10 points.Independent measureArenaView chart →#5 → #6

  13. July 2024

    1. Jul 2024CapabilityNewRose to #5 of 7 on the Text Arena, 36 points behind OpenAIOpenAI led at 1,341. First to fourth spanned 14 points.Independent measureArenaView chart →#7 → #5

  14. June 2024

    1. 11 Jun 2024MoneyNewClosed a funding round at a $6.0B post-money valuation, raising $500M in equityReported figureEpoch AI, AI CompaniesEpoch AI data →$6.0B
    2. Jun 2024CapabilityNewFell to #7 of 7 on the Text Arena, 96 points behind OpenAIOpenAI led at 1,341. First to fourth spanned 71 points.Independent measureArenaView chart →#5 → #7

  15. May 2024

    1. May 2024CapabilityNewFell to #5 of 7 on the Text Arena, 99 points behind OpenAIOpenAI led at 1,340. First to fourth spanned 70 points.Independent measureArenaView chart →#4 → #5

  16. April 2024

    1. Apr 2024CapabilityNewFell to #4 of 7 on the Text Arena, 91 points behind OpenAIOpenAI led at 1,338. First to fourth spanned 91 points.Independent measureArenaView chart →#3 → #4

  17. March 2024

    1. Mar 2024CapabilityNewFell to #3 of 7 on the Text Arena, 78 points behind AnthropicAnthropic led at 1,333. First to fourth spanned 95 points.Independent measureArenaView chart →#2 → #3

  18. February 2024

    1. 27 Feb 2024MoneyNewClosed a funding round at a $2.0B post-money valuation, raising $16M in equityReported figureEpoch AI, AI CompaniesEpoch AI data →$2.0B

  19. January 2024

    1. Jan 2024CapabilityNewRose to #2 of 6 on the Text Arena, 104 points behind OpenAIOpenAI led at 1,334. First to fourth spanned 145 points.Independent measureArenaView chart →#3 → #2

  20. December 2023

    1. 11 Dec 2023MoneyNewClosed a funding round at a $2.0B post-money valuation, raising $415M in equityReported figureEpoch AI, AI CompaniesEpoch AI data →$2.0B
    2. 11 Dec 2023OutputNewMixtral 8x7B released, trained with an estimated 7.7×10²³ FLOPIndependent estimateEpoch AIView chart →7.7×10²³
    3. Dec 2023CapabilityNewRose to #3 of 5 on the Text Arena, 104 points behind OpenAIOpenAI led at 1,312. First to fourth spanned 163 points.Independent measureArenaView chart →#5 → #3

  21. October 2023

    1. Oct 2023CapabilityNewPlaced #5 of 5 on the Text Arena with 1,129 points, its first month in this seriesOpenAI led at 1,314. First to fourth spanned 184 points.Independent measureArenaView chart →#5

  22. June 2023

    1. 13 Jun 2023MoneyNewClosed a funding round at a $260M post-money valuation, raising $113M in equityReported figureEpoch AI, AI CompaniesEpoch AI data →$260M

Mistral AI's model record

Download the CSV →
Every notable model Epoch AI has logged for Mistral AI: 6 in all, 6 from 2014 to 2025 and 0 in 2026 so far. Training compute, cost and hardware are Epoch's estimates, shown only where it has one.
Notable models, 2014–20256#10 of 10 companies · Epoch AI's count, as in chart 1.1.7
Frontier models0#8 of 10 companies · marked frontier in Epoch AI's database
Open weights67%4 of 6 notable models since 2023
Largest estimated training cost$14M#7 of 10 companies · Mistral Large (Feb 2024), 2023 dollars
Largest training cluster—No estimate in Epoch AI's database
Notable models per year* 2026 to 19 Oct 2026
2014: 020142015: 02016: 020162017: 02018: 020182019: 02020: 020202021: 02022: 020222023: 112024: 4420242025: 112026: 02026*
Notable models since 2023, newest first6 models
ReleasedModelAccessTraining computeEst. costTraining hardware
6 Mar 2025Mistral OCRAPI or hosted access———
18 Nov 2024Pixtral LargeOpen weights———
24 Jul 2024Mistral Large 2Open weights———
16 Jul 2024MathstralOpen weights———
26 Feb 2024Mistral LargeAPI or hosted access—$14MNVIDIA H100 SXM5 80GB
11 Dec 2023Mixtral 8x7BOpen weights7.7×10²³——
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). Mistral AI's models as CSV.

Mistral AI 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.
LensMistral AIOpenAIAnthropicGooglexAIMetaMicrosoftDeepSeekAlibabaNvidia
CapabilityEpoch Capabilities Index, its best model · data150.0#8168.8#1168.8#1166.4#3156.6#6161.8#4130.5#10155.9#7157.4#5146.0#9
OutputNotable AI models released in 2025 · chart1#921#17#415#25#54#60#104#611#33#8
MoneyAnnualized revenue, latest report · data$1B#3Sep 2026$50B#2Sep 2026$65B#1Jul 2026—$428M#5Sep 2025——$1B#3Sep 2026——
ComputeLargest training run with a published estimate, FLOP · chart7.7×10²³#10Mixtral 8x7B, Dec 20239.4×10²⁶#1GPT-6 Astra, Sep 20263.4×10²⁵#5Claude 3.7 Sonnet, Feb 20255×10²⁵#4Gemini 1.0 Ultra, Dec 20235×10²⁶#2Grok 4, Jul 20255.2×10²⁵#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 20251.8×10²⁵#6Nemotron-4 340B, Jun 2024
UseUS adults who used its assistant in the past week, Mar 2026 · data—31.0%#13.0%#620.9%#24.5%#57.5%#410.5%#30.6%#7——
Safety & policyLowest hallucination rate of its models (lower is better) · chart84%#689%#826%#250%#322%#187%#7—82%#489%#883%#5
More measures · Epoch AI data
Text Arenabest score, Mar 2026 · data1,416#71,481#41,503#11,494#31,495#21,335#8—1,424#61,449#5—
Valuationlatest closed round · data$24.0B#5$852.0B#2$965.0B#1—$230.0B#3——$50.0B#4——
Equity raisedin all · data$6.5B#5$182.8B#1$139.4B#2—$37.0B#3——$7.5B#4——
Stafflatest report · data350#54,500#23,000#46,000#1300#63,400#3—300#6——
AI chips ownedH100-equivalents · data———5.47M#10.55M#41.95M#33.32M#2———
Compute availableH100-equivalents, end of 2025 · data—1.74M#11.19M#31.58M#20.63M#51.00M#4————
Weekly use at workemployed US adults, Jul 2026 · data—33.7%#17.7%#524.2%#23.3%#69.8%#414.8%#3———
Model record · Epoch AI estimates
Notable models, 2014–2025Epoch AI's count, as in chart 1.1.76#1061#313#7194#17#887#242#47#827#630#5
Frontier modelsmarked frontier in Epoch AI's database0#815#23#533#13#55#33#50#80#84#4
Open weightsshare of its notable models since 202367%4 of 64%2 of 570%0 of 2214%8 of 5711%1 of 973%19 of 2633%2 of 6100%10 of 1075%24 of 3283%15 of 18
Largest estimated training cost2023 US dollars, among models Epoch has costed$14M#7Mistral Large$366M#2GPT-4.5$26M#5Claude 3.5 Sonnet$31M#4Gemini 1.0 Ultra$388M#1Grok 4$53M#3Llama 3.1-405B$4M#9Megatron-Turing NLG 530B$7M#8DeepSeek-R1 (May 2025)$109K#10PLUG$21M#6Nemotron-4 340B
Largest training clusterchips for one model, where Epoch records it—100,000#2GPT-6 Astra—57,000#3Gemini 1.0 Ultra200,000#1Grok 432,000#4Llama 4 Behemoth (preview)4,480#6Megatron-Turing NLG 530B2,048#7DeepSeek-V3 (Mar 2025)512#8CogView6,144#5Nemotron-4 340B
Charts on AI Adoptionthat name the company1332223840474

Every chart that names Mistral AI

All charts →
1 charts across 1 hubs name Mistral AI or one of its models. Each has its source and a CSV of its data.
AI Benchmarks1 chart
  1. 88.6%GPT-5 scored 99.8% on standard Slovenian but 88.6% on the Cerkno dialect; 8 of 12 models fell below 60%

The other companies, same lens

AI Companies →
OpenAI168.8Epoch Capabilities Index65 ledger entriesOpen tracker →Anthropic168.8Epoch Capabilities Index61 ledger entriesOpen tracker →Google166.4Epoch Capabilities Index48 ledger entriesOpen tracker →xAI156.6Epoch Capabilities Index37 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 →Nvidia146.0Epoch Capabilities Index7 ledger entriesOpen tracker →

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
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