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SWE-bench Verified — cost vs performance

Best current row per canonical model in the group “resolved · board=Verified · system=OpenHands” (9 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 (3 models)bubble = context window

Frontier models 3

Pareto frontier
Modelresolved on SWE-bench VerifiedRankcheapest current output price (USD / 1M tokens)ProviderTrust
gpt-5OpenAI · Closed71.8%1$5OpenRouterOfficial board
Kimi K2 0711Moonshot AI · Open weights65.4%5$2.3Moonshot AI PlatformOfficial board
Qwen3 Coder 30B A3B InstructQwen · Open weights51.6%8$0.28OpenRouterCommunity

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