SWE-Bench Multimodal

SWE-Bench Multimodal extends SWE-Bench to evaluate language models on software engineering tasks that involve visual inputs such as screenshots, UI mockups, and diagrams alongside code understanding.

Claude Mythos Preview from Anthropic currently leads the SWE-Bench Multimodal leaderboard with a score of 0.590 across 1 evaluated AI models.

AnthropicClaude Mythos Preview leads with 59.0%.

Progress Over Time

Interactive timeline showing model performance evolution on SWE-Bench Multimodal

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SWE-Bench Multimodal Leaderboard

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FAQ

Common questions about SWE-Bench Multimodal.

What is the SWE-Bench Multimodal benchmark?

SWE-Bench Multimodal extends SWE-Bench to evaluate language models on software engineering tasks that involve visual inputs such as screenshots, UI mockups, and diagrams alongside code understanding.

What is the SWE-Bench Multimodal leaderboard?

The SWE-Bench Multimodal leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, Claude Mythos Preview by Anthropic leads with a score of 0.590. The average score across all models is 0.590.

What is the highest SWE-Bench Multimodal score?

The highest SWE-Bench Multimodal score is 0.590, achieved by Claude Mythos Preview from Anthropic.

How many models are evaluated on SWE-Bench Multimodal?

1 models have been evaluated on the SWE-Bench Multimodal benchmark, with 0 verified results and 1 self-reported results.

What categories does SWE-Bench Multimodal cover?

SWE-Bench Multimodal is categorized under vision, code, multimodal, reasoning, and agents. The benchmark evaluates multimodal models.

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