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SWE-bench Verified — cost vs performance

Best current row per canonical model in the group “resolved · board=Verified · system=mini-SWE-agent” (42 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 (5 models)bubble = total parameters

Frontier models 5

Pareto frontier
Modelresolved on SWE-bench VerifiedRankcontext window (tokens)ProviderTrust
Claude Opus 4.5Anthropic · Closed76.8%1200KOfficial board
DeepSeek V3.2DeepSeek · Open weights70%11163.8KOfficial board
GLM 4.5Z.ai (Zhipu AI) · Open weights54.2%27131.1KOfficial board
gpt-4oOpenAI · Closed21.6%38128KOfficial board
Qwen2.5 Coder 32B InstructQwen · Open weights9%4232.8KOfficial board

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