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SWE-bench Multimodal — cost vs performance

Best current row per canonical model in the group “resolved · board=Multimodal · system=GUIRepair” (4 models) against context window (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 (2 models)bubble = total parameters

Frontier models 2

Pareto frontier
Modelresolved on SWE-bench MultimodalRankcontext window (tokens)ProviderTrust
o3OpenAI · Closed36.0%1200KOfficial board
gpt-4oOpenAI · Closed30.4%4128KOfficial board

Methodology. Points are the best current row per canonical model in comparability group 'resolved · board=Multimodal · system=GUIRepair'. 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.