BenchLeader

Token usage: output tokens per task

How many output tokens each configuration wrote per task of Artificial Analysis' Intelligence Index, reasoning included, averaged over the whole run. Fewer tokens for the same work means a cheaper, quicker model; it is not a measure of quality, so read it beside the index.

As of 9 Nov 2026, BenchLeader ranks GPT-6 Luna first on the Token usage: output tokens per task board at 3k, ahead of GPT-6.1 Terra (4k) and GPT-6.1 Sol (6k).

115 models · data as of 9 Nov 2026

Quality against what it costs to get there

Model size
405060705k10k20k50k100k200kOutput tokens per Intelligence Index task, reasoning included (log scale)BenchLeader Index v1.4Claude Fable 5.2Claude Opus 5.5Claude Opus 5.5Claude Fable 5.2NEW Claude Fable 5.2Claude Fable 5.2Gemini 4 CarbonGPT-6 AstraGPT-6 AstraGPT-6.1 SolClaude Fable 5.1Claude Fable 5.1GPT-6 AstraClaude Fable 5.2GPT-6 AstraGemini 4 ArgonClaude Opus 5.5Claude Opus 5.5Claude Fable 5.2Claude Opus 5Claude Opus 5Claude Sonnet 5.5GPT-6.1 TerraClaude Fable 5.1GPT-6 AstraGemini 4 CarbonGPT-6.1 SolGPT-6.1 SolClaude Fable 5.1GPT-6 SolGPT-6 SolGPT-6.1 SolGPT-6.1 SolClaude Sonnet 5.5Claude Sonnet 5.5GPT-6 AstraMuse Wonder FullMuse WonderGemini 3.8 FlashMuse Spark 1.3Claude Fable 5.1Claude Opus 5.5Kimi K3.1 ProGPT-5.6 TerraGemini 3.8 FlashGemini 3.8 FlashGPT-6.1 SolGPT-6.1 TerraGPT-6.1 TerraClaude Opus 5.5GLM 5.3Qwen3.8 MaxQwen3.8 MaxDeepSeek V4.1 Flash 1017Claude Fable 5.1GPT-6.1 TerraInkling 2 SmallGrok 4.7Grok 4.7Claude Sonnet 5.5Grok 4.6Grok 4.6MiMo-V2.6-ProGrok 4.7DeepSeek V4 ProGLM 5.3 FlashClaude Haiku 5.5Claude Haiku 5.5Claude Haiku 5.5GPT-6.1 TerraGPT-6.1 TerraGPT-6 LunaMiniMax M3Muse WonderGPT-5.6 LunaGPT-5.6 LunaClaude Haiku 5.5Grok 4.7Hy4Hy4MiMo-V2.6-FlashStep 5 PreviewMiniMax M3.1 FlashMiniMax M3.1 FlashKimi K3Kimi K3Muse Spark OpenMuse Spark OpenGemini 3.1 Flash LiteGemini 3.1 Flash LiteQwen3.8 27BMistral Large 4Mistral Large 4Inkling SmallGPT-6 LunaGPT-6.1 TerraGemini 3.5 Flash LiteGPT-6 LunaDeepSeek V4.1 Flash 1017Claude Sonnet 5.5Claude Sonnet 5.5Agnes 2.5 Pro ThetaLing 3.1 FlashLing 3.1 FlashQwen3.8 27BClaude Haiku 5.5InklingInklingGPT-6 LunaK2 Horizon 375B A23BMistral Large 4Nemotron 3 Ultra 550B A55BQwen3.8 27BQwen3.8 27BClaude Haiku 5.5GLM 5.3Mistral Medium 3.5Muse GlimmerMuse GlimmerCommand A+GPT-6 LunaGPT-6 LunaNemotron 3.5 Super VLNemotron 3.5 Super VLBeam 1.0Beam 1.0Qwen3.8 27BClaude Haiku 4.5Claude Haiku 4.5DeepSeek V4.1 Flash 1017DeepSeek V4.1 Flash 1017K Exaone 2.0 0803K Exaone 2.0 0803DeepSeek V4 ProDeepSeek V4 ProNemotron 3.5 LightningGranite 4.2 8BGranite 4.2 8BMistral Small 4Mistral Small 4North Mini CodeGPT-6 LunaGranite 4.2 3BGranite 4.2 3BNemotron 3 Nano 4BNemotron 3 Nano 4B
Purple: the frontier, the models no other model shown beats on both axes. Dashed ring: new in the last seven days.

The purple line is the efficiency frontier: at each price, the best index anyone reaches. A model above and left of the rest gives you more quality per dollar of real work. Size bands, task costs and token counts come from Artificial Analysis, which is the only source that publishes what a fixed batch of work actually cost and how much a model wrote for it.

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1NewAgnes 2.5 Pro Theta278k50.883%22 min$0.575
2Ling 3.1 Flash225k50.867%–$3.19
3Qwen3.8 Maxmax171k58.970%60 min$10.02
4NewNanbeige4.3-33B158k–64%––
5NewInkling 2 Small150k58.359%16 min$1.18
6MiniMax M3.1 Flash138k53.974%14 min$0.491
7GLM 5.3 Flash134k56.876%45 min$0.583
8MiMo-V2.6-Flash132k54.976%62 min$0.129
9MiMo-V2.6-Pro121k57.171%39 min$0.257
10Claude Opus 5max118k65.162%24 min$11.82
11Gemini 4 Argonhigh116k65.759%29 min$9.95
12Step 5 Preview113k54.670%14 min$2.35
13MiniMax M391k56.350%12 min$1.29
14Muse Spark 1.3max91k61.760%12 min$2.39
15Muse Wonder Fullmax88k62.262%––
16Gemini 4 Carbonlow86k–38%22 min$7.19
17Gemini 3.8 Flashmedium82k60.358%12 min$6.26
18Nemotron 3.5 Super VL81k45.869%5 min$0.520
19Hy478k55.370%14 min$1.03
20NewMuse Emberxhigh72k–61%–$0.116
21Kimi K3.1 Pro72k61.261%38 min$3.68
22DeepSeek V4 Prono reasoning72k42.30%17 min$0.977
23Muse Wonderhigh68k56.357%9 min$4.56
24Muse Spark Openxhigh66k53.649%6 min$2.02
25GPT-5.6 Terramax66k60.562%10 min$3.73
26DeepSeek V4.1 Flash 1017no reasoning65k45.00%8 min$0.425
27Nemotron 3.5 Lightning65k41.547%4 min$0.290
28K2 Horizon 375B A23B64k49.671%6 min–
29GPT-5.6 Lunamax59k56.264%9 min$0.331
30Grok 4.6xhigh58k57.655%13 min$4.68
31Mistral Large 4medium56k–63%9 min$1.41
32K Exaone 2.0 080355k42.441%––
33GPT-6 Solmax54k62.966%7 min$2.47
34GLM 5.3low52k47.469%16 min$1.57
35Granite 4.2 8B52k41.172%9 min$0.040
36Nemotron 3 Ultra 550B A55Bthinking51k49.240%5 min$2.23
37Inklingxhigh51k50.166%8 min$1.35
38Qwen3.8 27Bno reasoning45k45.60%19 min$3.77
39Grok 4.7low43k55.551%11 min$2.92
40Kimi K3low40k53.768%18 min$2.37
41Mistral Medium 3.540k46.645%5 min$1.04
42Claude Fable 5.1low38k58.741%7 min$4.47
43Inkling Small37k52.168%8 min$0.203
44NewClaude Fable 5.2low36k65.346%–$3.10
45Command A+36k45.957%3 min–
46Granite 4.2 3B34k39.456%––
47Beam 1.034k45.664%2 min$0.284
48Gemini 3.5 Flash Lite30k51.555%102 s$0.693
49North Mini Code30k40.257%3 min–
50Claude Haiku 5.5low28k47.854%2 min$0.044
51Muse Glimmerhigh26k46.655%5 min$0.170
52Claude Haiku 4.5thinking25k45.317%4 min$0.532
53Claude Sonnet 5.5low21k50.841%3 min$0.511
54Claude Opus 5.5low19k59.036%3 min$0.976
55Gemini 3.1 Flash Lite16k52.468%50 s$0.194
56Mistral Small 4thinking14k40.529%99 s$0.040
57Nemotron 3 Nano 4B12k37.881%––
58GPT-6 Astralow9k62.236%4 min$1.42
59GPT-6.1 Sollow6k60.227%105 s$0.161
60GPT-6.1 Terralow4k56.721%64 s$0.071

Cite as: BenchLeader, “Token usage: output tokens per task”, data as of 9 Nov 2026, https://www.benchleader.com/leaderboards/tokens-per-task.