Speed: output tokens per second
Output tokens per second: Artificial Analysis' measured median where it covers a model, otherwise OpenRouter's live-traffic median smoothed over the last seven days.
As of 24 Oct 2026, BenchLeader ranks Celeris-1 first on the Speed: output tokens per second board at 1581, ahead of K2 Horizon 375B A23B (982) and Mercury 2.5 (742).
665 models · data as of 24 Oct 2026
- 1Celeris-11581
- 2K2 Horizon 375B A23B982
- 3Mercury 2.5742
- 4Nemotron 3.5 Super VL454
- 5Mercury 2451
- 6Gemini 3.5 Flash Lite430
- 7Gemini 3.1 Flash Lite390
- 8Gemini 2.5 Flash-Lite (thinking)377
- 9Grok 4.20 Multi-Agent357
- 10Trinity Large (thinking)357
- 11Beam 1.0337
- 12Ling 3.0 Flash320
- 13Muse Spark 1.1 (xhigh)309
- 14Muse Spark 1.2 (xhigh)307
- 15DeepSeek V4.1 Flash (none)298
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Questions people ask
- What is the fastest LLM in tokens per second?
- On 24 Oct 2026, Celeris-1 by Celeris streams 1581 tokens per second, the fastest output speed on BenchLeader.
- What is the fastest good LLM?
- Among models scoring above 55 on the BenchLeader Index, K2 Horizon 375B A23B is the fastest on 24 Oct 2026 at 982 tokens per second (index 56.3).
- How is LLM output speed measured?
- Output tokens per second: Artificial Analysis' measured median where it covers a model, otherwise OpenRouter's live-traffic median smoothed over the last seven days. It counts tokens streamed per second after the first one arrives, and varies by provider and time of day, so treat it as typical rather than guaranteed.
- What is the difference between output speed and latency (time to first token)?
- Output speed is how fast text streams once it starts, in tokens per second; latency, or time to first token, is how long you wait before the first token arrives. A reasoning model can stream quickly but still take seconds to start, because it thinks first.
Cite as: BenchLeader, “Speed: output tokens per second”, data as of 24 Oct 2026, https://www.benchleader.com/leaderboards/speed.