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SWE-bench (full test split) — cost vs performance

Best current row per canonical model in the group “resolved · board=Test · system=SWE-agent” (4 models) against cheapest current output price (USD / 1M tokens). The dashed line is the Pareto frontier: no model is both better and cheaper than a point on it.

XOutput priceInput priceParametersContextMemory (est.)ScaleloglinearBubblecontextparamsnone
Group

open / restricted weights closed Pareto frontier (1 models)

Frontier models 1

Pareto frontier
Modelresolved on SWE-bench (full test split)Rankcheapest current output price (USD / 1M tokens)ProviderTrust
gpt-4oOpenAI · Closed12.0%3$5OpenAI APIOfficial board

Methodology. Points are the best current row per canonical model in comparability group 'resolved · board=Test · system=SWE-agent'. Price = cheapest current offer across providers (the provider shown). Pareto frontier maximises the score and minimises x; exact ties are all kept. memory_estimate is an estimate (see /methodology). Only the selected comparability group is plotted; points under other configurations are not mixed in. Price = cheapest current offer across providers at the time of the last crawl. Nothing is estimated except where marked.