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Task results

Improving through repeated play (EBR-bench)

Models play the relatively obscure board game Earthborne Rangers repeatedly, taking notes, to see whether they improve.

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 100
EvaluatedInput $
/1M
Output $
/1M
ContextSupportsWeightsReleasedPrice and specs
1–4GPT-6 AstraOpenAIRating 76.2 ±16.4$10$501.05MOpenAI Released 2026-⁠09 Price $10 / $50 Length 1.05M
1–5Claude Opus 5.5AnthropicRating 71.4 ±13.8$4$201MAnthropic Released 2026-⁠09 Price $4 / $20 Length 1M
1–6Gemini 4 ArgonGoogleRating 64.8 ±9.6$2$101.05MGoogle Released 2026-⁠09 Price $2 / $10 Length 1.05M
1–8Claude Fable 5.1AnthropicRating 57.1 ±11.8$10$501MAnthropic Released 2026-⁠09 Price $10 / $50 Length 1M
2–9GPT-6.1 SolOpenAIRating 54.3 ±11.3$2$101.05MOpenAI Released 2026-⁠09 Price $2 / $10 Length 1.05M
3–9GPT-6 SolOpenAIRating 53.3 ±9.0$2$101.05MOpenAI Released 2026-⁠09 Price $2 / $10 Length 1.05M
4–10Claude Opus 5AnthropicRating 45.7 ±7.0$5$251MAnthropic Released 2026-⁠07 Price $5 / $25 Length 1M
4–10GPT-5.6 SolOpenAIRating 44.8 ±8.1$4$201.05MOpenAI Released 2026-⁠07 Price $4 / $20 Length 1.05M
5–10Claude Haiku 5.5AnthropicRating 43.8 ±3.5$0.1$0.51MAnthropic Released 2026-⁠10 Price $0.1 / $0.5 Length 1M
7–12Claude Fable 5AnthropicRating 39.5 ±3.9$10$501MAnthropic Released 2026-⁠06 Price $10 / $50 Length 1M
10–13GPT-5.5OpenAIRating 34.3 ±3.9$5$301.05MOpenAI Released 2026-⁠04 Price $5 / $30 Length 1.05M
10–15Muse WonderMetaRating 31.4 ±8.1$4$201.05MMeta Released 2026-⁠10 Price $4 / $20 Length 1.05M
11–14Grok 4.6xAIRating 30.5 ±3.2$2$6500KxAI Released 2026-⁠08 Price $2 / $6 Length 500K
12–14Claude Opus 4.8AnthropicRating 28.6 ±2.8$5$251MAnthropic Released 2026-⁠05 Price $5 / $25 Length 1M
14–15GPT-5.4OpenAIRating 25.4$2.5$151.05MOpenAI Released 2026-⁠03 Price $2.5 / $15 Length 1.05M
16GPT-5.2OpenAIRating 23.0$1.75$14400KOpenAI Released 2025-⁠12 Price $1.75 / $14 Length 400K
17Claude Opus 4.7AnthropicRating 19.0$5$251MAnthropic Released 2026-⁠04 Price $5 / $25 Length 1M
18–19Claude Opus 4.5AnthropicRating 14.3$5$25200KAnthropic Released 2025-⁠11 Price $5 / $25 Length 200K
18–19Gemini 3.1 Pro (preview)GoogleRating 14.3$2$121.05MGoogle Released 2026-⁠02 Price $2 / $12 Length 1.05M
20–21Claude Opus 4.6AnthropicRating 12.7$5$251MAnthropic Released 2026-⁠02 Price $5 / $25 Length 1M
20–21GPT-5OpenAIRating 12.7$1.25$10400KOpenAI Released 2025-⁠08 Price $1.25 / $10 Length 400K
22–23GLM-5.2⁠Z.aiRating 9.5$1.4$4.41MZ.ai Released 2026-⁠06 Price $1.4 / $4.4 Length 1M
22–23Qwen3.7 MaxAlibabaRating 9.5$2.5$7.51MAlibaba Released 2026-⁠05 Price $2.5 / $7.5 Length 1M
24Claude Opus 4.1AnthropicRating 7.9——200KAnthropic Released 2025-⁠08 Price — Length 200K
25Gemini 3.5 FlashGoogleRating 4.8$1.5$91.05MGoogle Released 2026-⁠05 Price $1.5 / $9 Length 1.05M
26–27Claude Sonnet 4.5AnthropicRating 2.4$3$15200KAnthropic Released 2025-⁠09 Price $3 / $15 Length 200K
26–27Kimi K2.6⁠MoonshotRating 2.4$0.95$4262.1KMoonshot Released 2026-⁠04 Price $0.95 / $4 Length 262.1K

Best success rate over time

2025-08-05Release date2026-10-12
How to read this page
  • The better of the scored playthroughs after the learning playthroughs is used, and the value is the share of objectives achieved.
  • 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