BenchLeader

Time per task: how long one benchmark task takes

How long each configuration took per task of Artificial Analysis' Intelligence Index, averaged over the whole run. Most tasks are agentic and run many turns, so this is minutes of work, not the wait for one reply; more reasoning effort usually means a longer task.

As of 13 Nov 2026, BenchLeader ranks GPT-6 Luna first on the Time per task: how long one benchmark task takes board at 37 s, ahead of Gemini 3.1 Flash Lite (53 s) and GPT-6.1 Terra (70 s).

120 models · data as of 13 Nov 2026

Size

Quality against what it costs to get there

55606570752 min5 min10 min20 min30 min60 minTime per Intelligence Index task (log scale)BenchLeader Index v1.4Claude Fable 5.2Gemini 4 CarbonClaude Opus 5.5GPT-6 AstraClaude Fable 5.1GPT-6.1 Sol

Hover or tap a model to pick it out and see its other effort settings; click to pin it (Esc clears). The eye hides a model.

Time per task is Artificial Analysis’ own figure for each configuration’s Intelligence Index run, which it estimates from the output tokens and the model’s output speed. Most tasks are agentic and run many turns, so a task takes minutes, not the seconds one reply does. Each dot is a model at its best reasoning-effort setting (highest Index); pick a model out to see its other settings, joined lowest effort first; up and to the left is better.

How far the effort dial moves each model

One bar per model, from its lowest to its highest figure across its reasoning-effort settings, a mark at each setting. The same models as the chart above.

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Tokens per task

output tokens, reasoning included
0100k200kGPT-6 Astra9.1k – 52klowmaxGPT-6.1 Sol5.8k – 68klowmaxClaude Fable 5.138k – 118klowmaxGemini 4 Carbon86k – 123klowhighClaude Opus 5.519k – 173klowmaxClaude Fable 5.236k – 274klowmax

Output tokens, full Index run

every task of the run, as AA totals it
0100M200MGPT-6 Astra10.3M – 54.3MlowmaxGPT-6.1 Sol8.2M – 63.7MlowmaxClaude Fable 5.136.3M – 163MlowmaxGemini 4 Carbon83.9M – 205MlowhighClaude Opus 5.521.1M – 218MlowmaxClaude Fable 5.234.9M – 275Mlowmax

Artificial Analysis’ own total for the whole run: nine evaluations and over 5,000 tasks, several run three or five times. Its per-task figures are averages weighted by each evaluation’s share of the index, so they do not multiply back to this.

Cost per task

USD at list price
$0$10$20GPT-6.1 Sol$0.161 – $1.27Gemini 4 Carbon$4.68 – $5.48GPT-6 Astra$1.42 – $6.24lowmaxClaude Opus 5.5$0.976 – $10lowmaxClaude Fable 5.1$4.47 – $13lowmaxClaude Fable 5.2$3.10 – $27lowmax

Cost of a full Index run

USD at list price, as AA totals it
$0$10k$20kGPT-6.1 Sol$238 – $1.1kGemini 4 Carbon$4k – $5.3kGPT-6 Astra$1.7k – $5.7klowmaxClaude Opus 5.5$980 – $8.9klowmaxClaude Fable 5.1$3.9k – $13.3klowmaxClaude Fable 5.2$2.9k – $22.2klowmax

Artificial Analysis’ own total for the whole run: nine evaluations and over 5,000 tasks, several run three or five times. Its per-task figures are averages weighted by each evaluation’s share of the index, so they do not multiply back to this.

Time per task

per Index task
010 min20 min30 min40 minClaude Fable 5.17.5 min – 22.3 minlowmaxGPT-6.1 Sol2 min – 23.2 minlowmaxGPT-6 Astra4 min – 23.8 minlowmaxClaude Opus 5.53 min – 25.1 minlowmaxGemini 4 Carbon24.9 min – 28.6 minlowhighClaude Fable 5.26 min – 46.1 minlowmax

Cost, tokens and time per task, and the full-run totals, are from Artificial Analysis’ Intelligence Index runs, shown with credit and not offered for reuse. The Index is BenchLeader’s.

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1Solar Pro 462.9 min48.9311k$0.956AA
2MiMo-V2.6-Flash52.9 min54.8132k$0.129AA
3Qwen3.8 Maxmax51.2 min58.8171k$10.02AA
4GLM 5.3 Flash48.5 min56.5134k$0.583AA
5Ling 3.1 Flash46.7 min50.8225k$3.19derived
6Kimi K3.1 Pro39 min60.972k$3.68AA
7MiMo-V2.6-Pro35.9 min56.8121k$0.257AA
8Qwen3.8-Flash-Next35.8 min53.9148k$0.569AA
9Gemini 4 Argonhigh30.1 min65.3116k$4.97AA
10NewInkling 2 Small27.7 min57.9150k$1.18AA
11NewAgnes 2.5 Pro Theta26 min50.8278k$0.575AA
12Gemini 4 Carbonlow24.9 min60.186k$5.22AA
13Claude Opus 5max24.1 min64.9118k$11.82AA
14Qwen3.8 27Bno reasoning19.4 min45.545k$3.77AA
15MiniMax M3.1 Flash16.3 min53.5138k$0.491AA
16Kimi K3low16 min53.640k$2.37AA
17DeepSeek V4 Prono reasoning15.9 min42.272k$0.977AA
18Grok 4.6xhigh15.3 min57.358k$4.68AA
19GLM 5.3low14.6 min47.352k$1.57AA
20Hy414.3 min56.778k$1.03AA
21Apodex 1.114.3 min48.0116k$0.764AA
22MiniMax M314.2 min56.191k$1.29AA
23Step 5 Preview14 min54.3113k$2.35AA
24Gemini 3.8 Flashmedium12.9 min60.282k$6.26AA
25GPT-5.6 Terramax11.4 min60.466k$3.73AA
26Grok 4.7low11.1 min55.443k$2.92AA
27Muse Spark 1.3max11 min61.591k$2.39AA
28Muse Wonderhigh10.9 min56.268k$4.56AA
29Inklingxhigh10.2 min50.051k$1.35AA
30Granite 4.2 8B9.9 min41.152k$0.040AA
31Mistral Large 4medium9.7 min–56k$1.41AA
32GPT-5.6 Lunamax9.1 min56.259k$0.331AA
33gpt-oss-120bhigh7.9 min44.973k$0.345AA
34GPT-6 Solmax7.8 min62.754k$2.47AA
35Muse Spark Openxhigh7.8 min53.566k$2.02AA
36DeepSeek V4.1 Flash 1017no reasoning7.6 min44.965k$0.425AA
37Claude Fable 5.1low7.5 min58.838k$4.47AA
38Inkling Small6.4 min52.037k$0.203AA
39NewClaude Fable 5.2low6 min65.336k$3.10AA
40Nemotron 3.5 Super VL5.7 min45.881k$0.520AA
41Muse Glimmerhigh5.4 min46.526k$0.170AA
42K2 Horizon 375B A23B4.7 min49.564k–AA
43Mistral Medium 3.54.6 min46.640k$1.04AA
44Nemotron 3 Ultra 550B A55Bthinking4.4 min49.151k$2.23AA
45Nemotron 3.5 Lightning4.3 min41.465k$0.314AA
46GPT-6 Astralow4 min62.09k$1.42AA
47Claude Haiku 4.5thinking4 min45.325k$0.532AA
48Command A+3 min45.936k–AA
49Claude Opus 5.5low3 min58.919k$0.976AA
50North Mini Code2.8 min40.230k–AA
51NewMuse Emberxhigh2.7 min49.172k$0.116AA
52Claude Sonnet 5.5low2.5 min50.721k$0.511AA
53Claude Haiku 5.5low2.2 min47.728k$0.044AA
54Beam 1.02.1 min46.034k$0.284AA
55GPT-6.1 Sollow2 min60.06k$0.161AA
56Gemini 3.5 Flash Lite1.7 min51.430k$0.693AA
57Mistral Small 4thinking1.7 min40.514k$0.040AA
58NewGemini 4 Hydrogenlow80 s–14k$0.292AA
59GPT-6.1 Terralow70 s56.64k$0.071AA
60Gemini 3.1 Flash Lite53 s52.416k$0.194AA

Cite as: BenchLeader, “Time per task: how long one benchmark task takes”, data as of 13 Nov 2026, https://www.benchleader.com/leaderboards/time-per-task.