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Task results

Winning a card game at its hardest setting (SpireClimb)

The model plays both Slay the Spire games at their hardest settings by operating the screen.

How to read this table

  • Higher rows are rated higher. A range like “1–2” means the gap is within the margin of error.
  • The score is the share of tries on a shared set of tasks that the model completed (%).
  • A gap of 3 means 3 successes in 100 tries; ± is how far the score moves when re-measured.
  • Prices are a guide per million tokens, reading then writing.
  • Length is how much text the model can read at once (tokens).

± range of the top model

RankModelDeveloperSuccess rate
(%)
Success rate scale 0 to 40
EvaluatedInput $
/1M
Output $
/1M
ContextSupportsWeightsReleasedPrice and specs
1–2GPT-6 AstraOpenAIRating 25.7 ±7.2$10$501.05MOpenAI Released 2026-⁠09 Price $10 / $50 Length 1.05M
1–2GPT-6.1 SolOpenAIRating 24.7 ±7.3$2$101.05MOpenAI Released 2026-⁠09 Price $2 / $10 Length 1.05M
3–4GPT-6 SolOpenAIRating 7.5 ±4.2$2$101.05MOpenAI Released 2026-⁠09 Price $2 / $10 Length 1.05M
3–6Claude Opus 5.5AnthropicRating 3.3 ±2.8$4$201MAnthropic Released 2026-⁠09 Price $4 / $20 Length 1M
4–7Claude Fable 5.1AnthropicRating 2.0 ±2.2$10$501MAnthropic Released 2026-⁠09 Price $10 / $50 Length 1M
4–7Claude Sonnet 5.5AnthropicRating 1.3 ±1.8$2$101MAnthropic Released 2026-⁠09 Price $2 / $10 Length 1M
5–7GPT-6 LunaOpenAIRating 0.0 ±0.0$0.1$0.51.05MOpenAI Released 2026-⁠09 Price $0.1 / $0.5 Length 1.05M

Best success rate over time

2026-09-01Release date2026-09-29
How to read this page
  • The value is the share of runs won to the end.
  • The success rate is the share of tries that succeeded. A gap of 1 point is 1 success out of 100 tries.
  • In the Supports column the icons are, from left: can use tools / can read images / can answer in a fixed format (JSON); faded means not supported or unknown.
  • Open-weights models have their contents (the weights) published, so you can also run them on your own computer or server. Models without the open-weights mark are normally used through the developer's own services (apps or API); for some models the weights status is unknown.
  • Names such as ChatGPT next to a model are the consumer services its developer offers. Check on the service itself whether that model is available there.

Data: Arena, Epoch AI, Swallow LLM team (CC BY 4.0), Models.dev (MIT), updated 2026-⁠10-⁠24, data sources