Sunk Cost sunkcost.ai Data checked 2026-09-03

Best buys: the quickest pay-back at each level of capability

For each amount of daily use, the machines and models that pay for themselves soonest, grouped by how capable the model is. Each class lists the three that pay back soonest, one row per model, on the machine that pays it back quickest; under each table, a class counts what it leaves out and names the next model down. For every model on the site with its class beside it, see the leaderboard.

The short version: at 1M tokens a day (a moderate coding-assistant day), the quickest Sonnet-class pay-back is Qwen3.8 27B on a Mac mini M6, 32GB, in 41 years.

Jump to: 50k/day · 200k/day · 1M/day · 4M/day · 20M/day

50k tokens a day · a few chats a day

ModelMachineSpeedPays back in
Sonnet-class · alongside Claude Sonnet 5, GPT-5.6 Luna / Terra
Qwen3.8 27Bscore 34 Mac mini M6, 32GB $1,299 6.9 tok/s estimated 821 years Open in the calculator
Qwen3.8 Flash Nextscore 40 Mac Studio M5 Ultra, 256GB $10,799 74 tok/s estimated 3,715 years Open in the calculator
DeepSeek V4-Flashscore 35 Mac Studio M5 Ultra, 256GB $10,799 49 tok/s estimated 17,360 years Open in the calculator
One more model in this class pays back behind these three: GLM-5.3-Flash, in 21,262 years on a Mac Studio M5 Ultra, 256GB.
Haiku-class · alongside Claude Haiku 4.5
Nemotron 3.5 Bolt 74B-A9Bscore 21
nobody rents it; priced as Qwen3.6 27B
Strix Halo Framework Desktop, 32GB $1,269 48 tok/s estimated 198 years Open in the calculator
Qwen3.6 27Bscore 22 Mac mini M6, 32GB $1,299 6.7 tok/s estimated 215 years Open in the calculator
Muse Glimmer 30Bscore 18 Mac mini M6, 32GB $1,299 7.2 tok/s estimated 216 years Open in the calculator
9 more models in this class pay back behind these three. The quickest of them is Qwen3.5 122B-A10B, in 533 years on a Strix Halo Framework Desktop, 128GB.
Below every hosted tier
Ministral 3 14Bscore 6 Mac mini M6, 24GB $1,099 9.4 tok/s estimated 335 years Open in the calculator
Ministral 3 8Bscore 5 Mac mini M6, 16GB $899 12 tok/s estimated 368 years Open in the calculator
Devstral 2 123Bscore 9 Strix Halo Framework Desktop, 128GB $3,449 2.2 tok/s estimated 585 years Open in the calculator
14 more models in this class pay back behind these three. The quickest of them is Qwen3.5 9B, in 685 years on a Mac mini M6, 16GB. Of the 530 machine-and-model pairs that fit, 59 never pay back.

200k tokens a day · light assistant use

ModelMachineSpeedPays back in
Sonnet-class · alongside Claude Sonnet 5, GPT-5.6 Luna / Terra
Qwen3.8 27Bscore 34 Mac mini M6, 32GB $1,299 6.9 tok/s estimated 205 years Open in the calculator
Qwen3.8 Flash Nextscore 40 Mac Studio M5 Ultra, 256GB $10,799 74 tok/s estimated 929 years Open in the calculator
DeepSeek V4-Flashscore 35 Mac Studio M5 Ultra, 256GB $10,799 49 tok/s estimated 4,340 years Open in the calculator
One more model in this class pays back behind these three: GLM-5.3-Flash, in 5,315 years on a Mac Studio M5 Ultra, 256GB.
Haiku-class · alongside Claude Haiku 4.5
Nemotron 3.5 Bolt 74B-A9Bscore 21
nobody rents it; priced as Qwen3.6 27B
Strix Halo Framework Desktop, 32GB $1,269 48 tok/s estimated 49 years Open in the calculator
Qwen3.6 27Bscore 22 Mac mini M6, 32GB $1,299 6.7 tok/s estimated 54 years Open in the calculator
Muse Glimmer 30Bscore 18 Mac mini M6, 32GB $1,299 7.2 tok/s estimated 54 years Open in the calculator
9 more models in this class pay back behind these three. The quickest of them is Qwen3.5 122B-A10B, in 133 years on a Strix Halo Framework Desktop, 128GB.
Below every hosted tier
Ministral 3 14Bscore 6 Mac mini M6, 24GB $1,099 9.4 tok/s estimated 84 years Open in the calculator
Ministral 3 8Bscore 5 Mac mini M6, 16GB $899 12 tok/s estimated 92 years Open in the calculator
Devstral 2 123Bscore 9 Strix Halo Framework Desktop, 128GB $3,449 2.2 tok/s estimated 146 years Open in the calculator
14 more models in this class pay back behind these three. The quickest of them is Qwen3.5 9B, in 171 years on a Mac mini M6, 16GB. Of the 530 machine-and-model pairs that fit, 59 never pay back.

1M tokens a day · a moderate coding-assistant day

ModelMachineSpeedPays back in
Sonnet-class · alongside Claude Sonnet 5, GPT-5.6 Luna / Terra
Qwen3.8 27Bscore 34 Mac mini M6, 32GB $1,299 6.9 tok/s estimated 41 years Open in the calculator
Qwen3.8 Flash Nextscore 40 Mac Studio M5 Ultra, 256GB $10,799 74 tok/s estimated 186 years Open in the calculator
DeepSeek V4-Flashscore 35 Mac Studio M5 Ultra, 256GB $10,799 49 tok/s estimated 868 years Open in the calculator
One more model in this class pays back behind these three: GLM-5.3-Flash, in 1,063 years on a Mac Studio M5 Ultra, 256GB.
Haiku-class · alongside Claude Haiku 4.5
Nemotron 3.5 Bolt 74B-A9Bscore 21
nobody rents it; priced as Qwen3.6 27B
Strix Halo Framework Desktop, 32GB $1,269 48 tok/s estimated 9.9 years Open in the calculator
Qwen3.6 27Bscore 22 Mac mini M6, 32GB $1,299 6.7 tok/s estimated 11 years Open in the calculator
Muse Glimmer 30Bscore 18 Mac mini M6, 32GB $1,299 7.2 tok/s estimated 11 years Open in the calculator
9 more models in this class pay back behind these three. The quickest of them is Qwen3.5 122B-A10B, in 27 years on a Strix Halo Framework Desktop, 128GB.
Below every hosted tier
Ministral 3 14Bscore 6 Mac mini M6, 24GB $1,099 9.4 tok/s estimated 17 years Open in the calculator
Ministral 3 8Bscore 5 Mac mini M6, 16GB $899 12 tok/s estimated 18 years Open in the calculator
Devstral 2 123Bscore 9 Strix Halo Framework Desktop, 128GB $3,449 2.2 tok/s estimated 29 years Open in the calculator
14 more models in this class pay back behind these three. The quickest of them is Qwen3.5 9B, in 34 years on a Mac mini M6, 16GB. Of the 530 machine-and-model pairs that fit, 59 never pay back.

4M tokens a day · heavy coding with an agent

ModelMachineSpeedPays back in
Sonnet-class · alongside Claude Sonnet 5, GPT-5.6 Luna / Terra
Qwen3.8 27Bscore 34 Mac mini M6, 32GB $1,299 6.9 tok/s estimated 10 years Open in the calculator
Qwen3.8 Flash Nextscore 40 Mac Studio M5 Ultra, 256GB $10,799 74 tok/s estimated 46 years Open in the calculator
DeepSeek V4-Flashscore 35 Mac Studio M5 Ultra, 256GB $10,799 49 tok/s estimated 217 years Open in the calculator
One more model in this class pays back behind these three: GLM-5.3-Flash, in 266 years on a Mac Studio M5 Ultra, 256GB.
Haiku-class · alongside Claude Haiku 4.5
Nemotron 3.5 Bolt 74B-A9Bscore 21
nobody rents it; priced as Qwen3.6 27B
Strix Halo Framework Desktop, 32GB $1,269 48 tok/s estimated 2.5 years Open in the calculator
Qwen3.6 27Bscore 22 Mac mini M6, 32GB $1,299 6.7 tok/s estimated 2.7 years Open in the calculator
Muse Glimmer 30Bscore 18 Mac mini M6, 32GB $1,299 7.2 tok/s estimated 2.7 years Open in the calculator
9 more models in this class pay back behind these three. The quickest of them is Qwen3.5 122B-A10B, in 6.7 years on a Strix Halo Framework Desktop, 128GB.
Below every hosted tier
Ministral 3 14Bscore 6 Mac mini M6, 24GB $1,099 9.4 tok/s estimated 4.2 years Open in the calculator
Ministral 3 8Bscore 5 Mac mini M6, 16GB $899 12 tok/s estimated 4.6 years Open in the calculator
Devstral 2 123Bscore 9 Mac Studio M5 Max, 128GB $5,099 5.3 tok/s estimated 8.3 years Open in the calculator
14 more models in this class pay back behind these three. The quickest of them is Qwen3.5 9B, in 8.6 years on a Mac mini M6, 16GB. Of the 530 machine-and-model pairs that fit, 59 never pay back and 8 can’t produce this much in a day.

20M tokens a day · agents running most of the day

ModelMachineSpeedPays back in
Sonnet-class · alongside Claude Sonnet 5, GPT-5.6 Luna / Terra
Qwen3.8 27Bscore 34 AMD Radeon AI PRO R9700, 32GB $1,299, card only 30 tok/s estimated 2.1 years Open in the calculator
Qwen3.8 Flash Nextscore 40 Mac Studio M5 Ultra, 256GB $10,799 74 tok/s estimated 9.3 years Open in the calculator
DeepSeek V4-Flashscore 35 Mac Studio M5 Ultra, 256GB $10,799 49 tok/s estimated 43 years Open in the calculator
One more model in this class pays back behind these three: GLM-5.3-Flash, in 53 years on a Mac Studio M5 Ultra, 256GB. Of the 33 machine-and-model pairs that fit, 18 can’t produce this much in a day.
Haiku-class · alongside Claude Haiku 4.5
Nemotron 3.5 Bolt 74B-A9Bscore 21
nobody rents it; priced as Qwen3.6 27B
Strix Halo Framework Desktop, 32GB $1,269 48 tok/s estimated 5.9 months Open in the calculator
Qwen3.6 27Bscore 22 AMD Radeon AI PRO R9700, 32GB $1,299, card only 29 tok/s estimated 6.5 months Open in the calculator
Muse Glimmer 30Bscore 18 AMD Radeon AI PRO R9700, 32GB $1,299, card only 31 tok/s estimated 6.5 months Open in the calculator
9 more models in this class pay back behind these three. The quickest of them is Qwen3.5 122B-A10B, in 16 months on a Strix Halo Framework Desktop, 128GB. Of the 257 machine-and-model pairs that fit, 71 can’t produce this much in a day.
Below every hosted tier
Ministral 3 14Bscore 6 AMD Radeon AI PRO R9700, 32GB $1,299, card only 41 tok/s estimated 12 months Open in the calculator
Ministral 3 8Bscore 5 AMD Radeon AI PRO R9700, 32GB $1,299, card only 57 tok/s estimated 16 months Open in the calculator
Qwen3.5 9Bscore 14* Mac mini M6, 16GB $899 17 tok/s estimated 21 months Open in the calculator
14 more models in this class pay back behind these three. The quickest of them is Ling 3.0 tiny, in 2.0 years on a Mac mini M6, 16GB. Of the 530 machine-and-model pairs that fit, 41 never pay back and 63 can’t produce this much in a day.

Current machines at list price and current models only. Graphics cards are priced as the card alone, so add the PC around it before comparing them with a complete computer; the cards are ranked against each other here. Every row uses 15:1 input to output, $0.17 per kWh, 32k of context, and today's API prices held flat; switch on falling API prices in the calculator and the years stretch. Speeds marked estimated are worked out from memory bandwidth rather than measured, and pay-back scales with them. Models nobody rents are priced as their closest hosted match and say so. Scores are the Artificial Analysis Intelligence Index v4.3; * marks a score the index estimated. Open any row to change the assumptions, set two machines or two models against each other in the head-to-heads, or read what a million tokens costs to rent against generating it, which is the gap every figure here divides into.