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Benchmarks · speed

Output Speed (tokens/s)

Output tokens per second over a request's full duration, so time to first token and reasoning tokens count. AA averages its workloads (1k, 10k and 100k prompts, and multi-turn agent sessions) over the past 5 days, and a request that fails on the endpoint's side counts as 0. Read from the lab's own API where AA has one, otherwise the median across providers.

Artificial Analysis changed how it measures speed in Performance Benchmarking v3.0.0. Values before Nov 4, 2026 are not comparable with later ones. Their method

162 models · 298 results · data as of 2026-11-06 · artificialanalysis.ai ↗

Leaderboard

Chart settings
162 of 162 selected
Mercury 2.5

All results

298 rows
#ModelEffortOutput Speed (tokens/s)
1Mercury 2.5575.5
2Gemini 3.1 Flash-Litehigh336.0
3Gemini 3.5 Flash-Litehigh298.8
4Mercury 2high286.8
5Gemini 2.5 Flash Litenone275.0
6Nemotron 3.5 Lightning244.9
7Haiku 5.5max235.6
8Haiku 5.5xhigh233.8
9o3 minihigh229.9
10Muse Spark 1.3xhigh225.9
11Haiku 5.5high219.1
12Haiku 5.5medium217.8
13Haiku 5.5low215.9
14Gemini 2.5 Flash207.6
15Ling 3.0 Flash199.3
16Gemini 3 Flash199.2
17DeepSeek V4.1 Flashnone198.0
18DeepSeek V3none194.9
19GPT-5.4 Minixhigh190.9
20Muse Spark 1.1xhigh187.0
21GPT-5.4 Minimedium185.3
22GLM 5.2none184.3
23Gemini 3.5 Flashhigh183.9
24o3 mini183.5
25Gemini 3.6 Flashhigh182.1
26Gemini 2.5 Flashnone180.6
27DeepSeek V4.1 Flashmax175.6
28DeepSeek V4.1 Flash 1017high175.4
29Ling 3.1 Flash173.8
30DeepSeek V4.1 Flash 1017max171.5