BenchLeader

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

264 of 264
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1Celeris-115810.6 s
2K2 Horizon 375B A23B982–
3Mercury 2.57421.0 s
4Nemotron 3.5 Super VL4540.4 s
5Mercury 24510.7 s
6Gemini 3.5 Flash Lite4300.6 s
7Gemini 3.1 Flash Lite3900.8 s
8Gemini 2.5 Flash-Litethinking377–
9Grok 4.20 Multi-Agent3578.0 s
10Trinity Largethinking3570.6 s
11NewBeam 1.0337–
12Ling 3.0 Flash3200.9 s
13Muse Spark 1.1xhigh3091.6 s
14Muse Spark 1.2xhigh3072.8 s
15DeepSeek V4.1 Flashno reasoning2980.9 s
16Muse Spark 1.3xhigh2902.9 s
17Nemotron 3.5 Lightning2880.2 s
18Nova Micro2800.4 s
19Nemotron 3 Nano 30B A3Bno reasoning2680.8 s
20gpt-oss-120blow2610.4 s
21GPT-5.4 Minixhigh2411.0 s
22Claude Haiku 5.5max2351.0 s
23Qwen3.5 Omni Flash2341.8 s
24Nemotron 3 Nano Omni 30B A3Bthinking233–
25Step 5 Preview2241.1 s
26Inkling Small2240.4 s
27Gemini 2.5 Flashthinking224–
28GPT-4.1 nano2230.9 s
29Gemini 3.5 Flashhigh2221.6 s
30Qwen3 Coder 30B A3B Instruct2221.3 s
31Gemini 3 Flashthinking2221.3 s
32Ling 3.1 Flash2201.2 s
33o3-minihigh216–
34Ministral 3 3B2070.3 s
35Nemotron Nano 12B v2 VLno reasoning2021.1 s
36Gemini 3.6 Flashhigh2021.4 s
37Qwen3.7max2011.1 s
38NewDeepSeek V4.1 Flash 1017max1980.9 s
39Sarvam 105Bhigh197–
40Deepseek v4 Flash Visionmax1911.1 s
41Quasar 438Bmax185–
42Qwen3 30B A3B 25071840.3 s
43Mistral Small 4thinking1830.5 s
44gpt-oss-20blow1830.3 s
45Step 3.7 Flash1793.7 s
46Nova 2.0 Litethinking179–
47GLM 5.2no reasoning1751.1 s
48Nova Lite1710.6 s
49GPT-5.1-Codex-Minihigh1704.3 s
50GPT-5-Codexhigh166–
51Qwen3.5-35B-A3Bno reasoning1662.0 s
52NVIDIA Nemotron Nano 9B v2no reasoning1651.0 s
53GPT-5.4 Nanoxhigh1641.0 s
54GPT-4o1640.6 s
55GPT-4.11641.0 s
56Mistral Medium 3.51590.6 s
57GPT-4.1 minihigh1590.8 s
58Nemotron 3 Ultra 550B A55Bthinking1590.4 s
59GPT-5.5 Instant156–
60Qwen3.6 35B A3Bno reasoning1552.0 s

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.