DeckBench: cost per presentable deck, US dollars, lower is better
| # | Model | Cost per presentable deck US dollars, lower is better | Deck rating rating | Presentable decks % of tasks | Accurate decks % of tasks | Design quality % of the maximum | Cost per deck US dollars |
| 1 |
GPT-6.1 TerraOpenAI |
$0.13
|
1,332 | 50.0% 3 of 6 | 100.0% 6 of 6 | 80.8% | $0.0672 |
| 2 |
Claude Sonnet 5.5Anthropic |
$0.31
|
1,359 | 50.0% 3 of 6 | 66.7% 4 of 6 | 78.5% | $0.15 |
| 2 |
GPT-6.1 SolOpenAI |
$0.31
|
1,420 | 50.0% 3 of 6 | 100.0% 6 of 6 | 71.4% | $0.15 |
| 4 |
GPT-6 SolOpenAI |
$0.42
|
1,475 | 50.0% 3 of 6 | 83.3% 5 of 6 | 87.9% | $0.21 |
| 5 |
Qwen3.8-Max (0902)Alibaba |
$0.44
|
1,060 | 33.3% 2 of 6 | 50.0% 3 of 6 | 67.0% | $0.15 |
| 6 |
Grok 4.7xAI |
$0.76
|
1,280 | 33.3% 2 of 6 | 66.7% 4 of 6 | 76.4% | $0.25 |
| 7 |
Claude Opus 5.5Anthropic |
$0.78
|
1,377 | 33.3% 2 of 6 | 83.3% 5 of 6 | 72.0% | $0.26 |
| 8 |
Gemini 3.1 Pro PreviewGoogle |
$0.81
|
742 | 16.7% 1 of 6 | 50.0% 3 of 6 | 51.4% | $0.14 |
| 9 |
Muse WonderMeta |
$1.09
|
1,238 | 16.7% 1 of 6 | 100.0% 6 of 6 | 67.1% | $0.18 |
| 10 |
GPT-6 AstraOpenAI |
$1.64
|
1,593 | 66.7% 4 of 6 | 100.0% 6 of 6 | 88.5% | $1.09 |
| 11 |
Claude Fable 5.1Anthropic |
$2.42
|
1,291 | 33.3% 2 of 6 | 66.7% 4 of 6 | 66.6% | $0.81 |
Swipe the table sideways for more columns.
Source: Spring Prompt, springprompt.com/benchmarks/deckbench. Test your own prompt on these models →
Ranks follow the score as shown, so equal numbers share a rank. Generation cost per deck that could be presented as it is: cost per deck divided by the share of tasks with a presentable deck. Cost is recorded at each run's prices and excludes judging and human review. This is the cost of passing answers in our run, the same way the Prompt test counts cost per usable answer: failed attempts are paid for too. No estimate for 19 configurations: failed-call costs incomplete for Claude Fable 5.2, Claude Haiku 5.5; no presentable decks for Claude Haiku 4.5, DeepSeek-V4-Pro (0423), DeepSeek-V4.1-Flash-1017, GLM-5.3 FlashX Legal, GPT-6 Luna, Gemini 3.5 Flash-Lite, Gemini 3.8 Flash, Gemini 4 Argon, Kimi K3, Kimi K3.1 Pro, Mercury 3, MiniMax M3.1 Flash, MiniMax M3.1 Flash, Mistral Large 4, Mistral Medium 3.5, Muse Spark 1.3, Particle-1. Each model runs at its provider's default reasoning setting, one deck per task. The rating comes from head-to-head comparisons, so it keeps separating models even when several make presentable decks; ranges are 95% intervals from resampling the comparisons.