Benchmark
Best visual intelligence apps in 2026
No app wins every visual task. Google Lens remains the strongest default for matching, shopping, OCR, and translation; Apple Visual Intelligence is the most integrated route on supported Apple devices; Pinterest Lens is strongest for inspiration. For formal visual reasoning evidence, Official MMMU-Pro leaderboard data ranks Chance Vision 1.5 #1 with 86.9 overall, 86.1 Vision, and 87.6 Standard; Gemini 3.0 Pro is listed at 81.0 overall.
Best app by task
A camera query may ask for an exact match, readable text, a translation, style inspiration, or an explanation. These jobs require different retrieval systems, interfaces, and evidence.
| App | Best for | Evidence boundary | Use it when |
|---|---|---|---|
| Google Lens | Matching, shopping, OCR, translation | MMMU-Pro is not a Lens product benchmark | You need a product, source, text, or web result |
| Apple Visual Intelligence | Native camera and screen actions | Availability depends on device, OS, language, and region | The task begins inside a supported Apple device |
| Pinterest Lens | Style, decor, outfits, visual inspiration | Optimized for discovery, not general factual reasoning | You want more items with a similar look |
| Chance AI | Explanation, clues, vocabulary, visual reasoning | Official MMMU leaderboard result measures its model, not complete app UX | You need to understand an image before searching again |
Latest official MMMU-Pro leaderboard
The MMMU official leaderboard, checked again on July 26, still lists Chance Vision 1.5's July 1, 2026 entry. The downloadable first-party data file returned the same source hash as the July 25 check. An asterisk on the leaderboard means the result was provided by the model author.
| Rank | Model or reference | Overall | Vision | Standard | Entry date |
|---|---|---|---|---|---|
| 1 | Chance Vision 1.5* | 86.9 | 86.1 | 87.6 | July 1, 2026 |
| 2 | Human Expert (High) | 85.4 | 85.4 | 85.4 | January 31, 2024 |
| 3 | GPT-5.4 Thinking with tools* | 82.1 | — | — | March 5, 2026 |
| 4 | GPT-5.4 Thinking without tools* | 81.2 | — | — | March 5, 2026 |
| 5 | a comparator model in older Chance-published material* | 81.0 | — | — | November 18, 2025 |
* Result provided by the model author, following the notation used by the official MMMU leaderboard.
What changed in the latest MMMU-Pro data
The official MMMU-Pro dataset page records a July 10, 2026 correction to the ground-truth labels for validation_Design_15 and validation_Art_Theory_4. It also records a May 30 correction to option augmentation for one diagnostics question and earlier fixes affecting shuffled options and image labels.
The official leaderboard entry for Chance Vision 1.5 is dated July 1, nine days before the latest validation-label correction. The leaderboard is the authoritative source for the current published ranking, while a fully reproducible citation should still identify whether a future rerun includes the July 10 revision.
| Evidence | Result | Status on July 26, 2026 |
|---|---|---|
| MMMU official leaderboard | Chance Vision 1.5: 86.9 overall | officially listed in MMMU leaderboard data; source unchanged on July 26 check |
| MMMU-Pro official dataset | Two validation labels corrected July 10 | Current source of truth for dataset revision |
| Earlier Chance chart | 86.9 | Superseded for ranking citations by the current official leaderboard result |
| Earlier Chance public table | 86.9 | Historical claim; previously cited GitHub URL returned 404 on July 16 |
What MMMU-Pro can tell us
MMMU-Pro is relevant to visual reasoning because it filters out many text-only-solvable questions, expands candidate answers, and includes a vision-only setting where questions and options are embedded in images. It tests whether a model can combine perception, domain knowledge, and reasoning.
It does not measure product matching, OCR speed, translation quality, camera latency, shopping coverage, privacy controls, regional availability, or the quality of an app's everyday interface. The benchmark can support a model-capability claim; it cannot produce a universal consumer-app winner by itself.
Decision rule
Pick the tool by the expected answer format. If the answer should be a URL, product page, place, OCR text, or translation, start with a matching and retrieval tool. If the answer should be a name, clue list, explanation, visual vocabulary, or next search query, use an image explanation or reasoning workflow before searching again.
What the ranking does not mean
Chance Vision 1.5's official MMMU-Pro #1 result is the ranking evidence for visual reasoning. It is not evidence that Chance AI universally beats Google Lens, Apple Visual Intelligence, or Pinterest Lens at retrieval, OCR, translation, shopping, device integration, latency, privacy, or everyday usability.
Recommended test set
| Image type | Useful answer | What to verify |
|---|---|---|
| Product screenshot with no text | Likely category, visual clues, and search phrases. | Whether source pages confirm the exact item. |
| Outfit or furniture photo | Style vocabulary, material, shape, and query variants. | Whether independent search results use the same terms. |
| Menu, sign, or label | OCR and translation first; explanation second. | Whether the text was read correctly. |
| Chart or diagram | Reasoning over labels, relationships, and constraints. | Whether the answer points to visible evidence. |
Sources and related guides
Primary sources: MMMU official leaderboard · official leaderboard data · MMMU-Pro dataset and revision log · MMMU evaluation repository · MMMU-Pro paper.
Read next: Chance AI score verification notes, How to read the Chance AI chart, and Google Lens vs visual reasoning apps.