SWE-Bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
Multimodal v2 September 1, 2026 V2 retains 480 tasks selected for reproducible evaluation, with known flaky or ungradeable tests removed. The complete test split and evaluation tooling are open source. Docker environments were rebuilt to address dependency and browser drift.
- ▪Multimodal v2 September 1, 2026 V2 retains 480 tasks selected for reproducible evaluation, with known flaky or ungradeable tests removed.
- ▪The complete test split and evaluation tooling are open source.
- ▪Docker environments were rebuilt to address dependency and browser drift.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,894 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Swebench |
| Canonical URL | https://www.swebench.com/multimodal.html |
| Publication time | Mon, 14 Sep 2026 21:09:16 +0000 |
| Retrieval time | 2026-09-14T21:26:51.485Z |
| Last seen | 2026-09-14T21:26:51.485Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | cmFYLAgmz1E4 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Overview The original SWE-bench Multimodal release augmented the benchmark with 517 issues containing visual elements such as: Screenshots of bugs or interface issues Design mockups or wireframes Diagrams explaining desired functionality Error messages with visual context This extension evaluates models' ability to interpret and act on information presented in both textual and visual formats. Multimodal v2 September 1, 2026 V2 retains 480 tasks selected for reproducible evaluation, with known flaky or ungradeable tests removed. The complete test split and evaluation tooling are open source. Docker environments were rebuilt to address dependency and browser drift. JavaScript grading and visual test-asset handling were made more robust.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Swebench.
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