Annual report · January to November 2026, updated as the year runs

State of LLM Usage 2026

Which models, labs and providers carried production traffic this year. Measured from real token volume routed through LLM Gateway, not from benchmarks or surveys.

Tokens processed
3.8T
Requests
134.1M
Models with traffic
368
Providers serving them
41

Key findings

The short version of 2026.

  • DeepSeek V4.1 Flash was the most used model, carrying 20.9% of all tokens.
  • DeepSeek models processed 47.2% of token volume, more than any other lab.
  • October was the busiest month with 1.2T tokens.
  • 7 different models held the monthly number-one spot.
  • Qwen3.8 Flash grew fastest, up 3,365% over the previous period.

Token volume by month

Total tokens processed each month, with the model that led it.

  1. January20.7BLed by Gemini 2.5 Flash Preview (09-2025)
  2. February11.2BLed by Gemini 2.5 Flash Preview (09-2025)
  3. March5.5BLed by Gemini 3 Pro Image (Preview)
  4. April37.7BLed by Grok 4.1 Fast Non-Reasoning
  5. May74.4BLed by DeepSeek V4 Pro
  6. June95.7BLed by DeepSeek V4 Pro
  7. July178.9BLed by DeepSeek V4 Pro
  8. August500.8BLed by DeepSeek V4 Flash
  9. September1TLed by DeepSeek V4.1 Flash
  10. October1.2TLed by DeepSeek V4.1 Flash
  11. November584.4BLed by DeepSeek V4.1 Flash 1017

Most used LLMs of 2026

Ranked by tokens across every provider that serves the model.

  1. 1DeepSeek V4.1 Flash789.7B · 20.9%
  2. 2DeepSeek V4.1 Flash 1017496.6B · 13.1%
  3. 3DeepSeek V4 Pro261.2B · 6.9%
  4. 4DeepSeek V4 Flash232.4B · 6.1%
  5. 5GLM-5.3 Flash196B · 5.2%
  6. 6Muse Spark 1.3 Contributor142.1B · 3.8%
  7. 7GPT-6 Luna136.1B · 3.6%
  8. 8Gemini 3.8 Flash108.3B · 2.9%
  9. 9MiMo V2.6 Pro107.1B · 2.8%
  10. 10GLM-5.3101.5B · 2.7%
  11. 11GPT-5.6 Luna101.5B · 2.7%
  12. 12GLM-5.289.3B · 2.4%
  13. 13Gemini 3.7 Flash73.8B · 1.9%
  14. 14GPT-6.1 Sol53.1B · 1.4%
  15. 15Kimi K348.7B · 1.3%
  16. 16Claude Opus 5.547.9B · 1.3%
  17. 17GPT-5.6 Sol45.5B · 1.2%
  18. 18Gemini 3 Flash (Preview)40.5B · 1.1%
  19. 19Jev 1.1438.8B · 1.0%
  20. 20Qwen3.8 Flash32.1B · 0.8%
  21. 21GPT-5.6 Terra29.9B · 0.8%
  22. 22Grok 4.1 Fast Non-Reasoning29.2B · 0.8%
  23. 23Claude Sonnet 527.2B · 0.7%
  24. 24MiniMax M326B · 0.7%
  25. 25Gemini 3 Pro Image (Preview)25.7B · 0.7%

Share by model lab

Token volume grouped by the lab that built the model.

  1. 1DeepSeek1.8T · 47.2%
  2. 2OpenAI459.3B · 12.1%
  3. 3Z AI397B · 10.5%
  4. 4Google365.1B · 9.6%
  5. 5Anthropic176.2B · 4.7%
  6. 6Meta157B · 4.1%
  7. 7Xiaomi145B · 3.8%
  8. 8Alibaba Cloud87.6B · 2.3%
  9. 9Moonshot AI72.4B · 1.9%
  10. 10TypeSafe AI52.1B · 1.4%

Provider market share

Who actually served the tokens, including third-party hosts.

  1. 1DeepSeek695.7B · 24.1%
  2. 2Google Vertex AI270.5B · 9.4%
  3. 3Together AI255B · 8.8%
  4. 4OpenAI248.6B · 8.6%
  5. 5Azure204.6B · 7.1%
  6. 6DeepInfra170.9B · 5.9%
  7. 7Meta Contributor142.2B · 4.9%
  8. 8Xiaomi129.4B · 4.5%
  9. 9AWS Bedrock111.9B · 3.9%
  10. 10Fireworks AI84.4B · 2.9%

Fastest-growing models

Growth in token volume over the most recent months of the period, against the months before them.

  1. +3,365%

    Qwen3.8 Flash

    901.7M to 31.2B tokens

  2. +1,258%

    GLM-5.3 Flash

    13.4B to 182.6B tokens

  3. +883%

    GLM-5.3

    9.4B to 92.1B tokens

  4. +202%

    GPT-5.6 Terra

    7.4B to 22.4B tokens

  5. +35%

    MiniMax M3

    11.1B to 14.9B tokens

Methodology

How to read the numbers.

The report counts tokens and requests routed through LLM Gateway in 2026, in UTC, for models in the public catalogue. A model served by several providers is counted once in the model ranking and split by host in the provider ranking.

Usage shows where production workloads run. It is not a quality score: a model can top a benchmark and still see little real traffic. Gateway traffic also leans towards developers who route across providers, so read shares as a view of that audience rather than of the whole market.

Run every model in this report through one API

One OpenAI-compatible endpoint, one key, automatic failover between providers.

Other years: 2025

FAQ

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Every figure is aggregated from requests routed through LLM Gateway during the calendar year, in UTC. Nothing is surveyed or estimated.