ScreenSpot-v2
Models locate a described element on mobile, desktop and web screenshots. A click inside the target box counts as correct.
Released with OS-Atlas as a relabeled ScreenSpot that fixes wrong annotations, so scores differ from the original.
- Released
- October 2024
- Kind
- Finding things on screen
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Last in a launch post
- August 2026, dropped after it saturated
- Last model added
- October 2026
Seed1.5-VL leads with 95.2% among models released by August 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in August 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 95.2
Seed1.5-VL
- 94.4
Fara1.5-27B
- 94.2
UI-TARS-1.5
- 93.6
Intern-S1-Pro
- 93.3
Muse Glimmer
- 92.9
InternVL3.5-241B-A28B
- 92.8
Nemotron 3 Nano Omni 30B-A3B
- 92.6
STEP3-VL-10B
- 91.4 Kimi-VL-A3B-Thinking-2506
- 91.2
LongCat-Flash-Omni
- 89.3
Fara-7B
- 88.2
Phi-4-Reasoning-Vision-15B
- 80.7 LFM2.5-VL-3B
- 42.8
Nemotron Nano 12B v2 VL
- 1
Seed1.5-VL 95.2%
- 2
Fara1.5-27B 94.4%
- 3
UI-TARS-1.5 94.2%
- 4
Intern-S1-Pro 93.6%
- 5
Muse Glimmer 93.3%
- 6
InternVL3.5-241B-A28B 92.9%
- 7
Nemotron 3 Nano Omni 30B-A3B 92.8%
- 8
STEP3-VL-10B 92.6%
- 9 Kimi-VL-A3B-Thinking-2506 91.4%
- 10
LongCat-Flash-Omni 91.2%
- 11
Fara-7B 89.3%
- 12
Phi-4-Reasoning-Vision-15B 88.2%
- 13 LFM2.5-VL-3B 80.7%
- 14
Nemotron Nano 12B v2 VL 42.8%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 95.2% | May 2025 | Lab model card | |
| 2 | | 94.4% | Jun 2026 | Lab model card | |
| 3 | | 94.2% | Apr 2025 | Lab model card | |
| 4 | | 93.6% | Feb 2026 | Lab model card | |
| 5 | | 93.3% | Oct 2026 | Lab model card | |
| 6 | | 92.9% | Aug 2025 | Lab model card | |
| 7 | | 92.8% | Apr 2026 | Lab model card | |
| 8 | | 92.6% | Jan 2026 | Lab model card | |
| 9 | Kimi-VL-A3B-Thinking-2506 | 91.4% | Jun 2025 | Lab model card | |
| 10 | | 91.2% | Oct 2025 | Lab model card | |
| 11 | | 89.3% | Nov 2025 | Lab model card | |
| 12 | | 88.2% | Mar 2026 | Lab model card | |
| 13 | LFM2.5-VL-3B | 80.7% | Aug 2026 | Lab model card | |
| 14 | | 42.8% | Nov 2025 | Lab model card |
2 models have held number one in labs’ own numbers since its release in October 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
ByteDance Seed’s own number for UI-TARS-1.5 passed 85% in April 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in August 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Aug 12, 2026 | LFM2.5-VL-3B | 80.7 | Mean of ScreenSpot-v2 Desktop 78.7 / Mobile 81.2 / Web 82.2 |
| Mar 4, 2026 | 88.2 | ScreenSpot_v2 (default mode) | |
| Feb 2, 2026 | 93.6 | ScreenSpot V2 | |
| Jan 13, 2026 | 92.6 | ScreenSpot-V2 | |
| Oct 31, 2025 | 91.2 | ScreenSpot-v2 | |
| Aug 25, 2025 | 92.9 | ScreenSpot-v2 | |
| Jun 21, 2025 | Kimi-VL-A3B-Thinking-2506 | 91.4 | ScreenSpot-V2 (Acc) |
| May 12, 2025 | 95.2 | ScreenSpot-V2 | |
| Apr 16, 2025 | 94.2 | ScreensSpot-V2 |
12 system cards report it, from 8 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 19, 2026 | | 93.3 | Screenspot v2, high (Table 5) | Capabilities |
| Jun 18, 2026 | | 94.4 | ScreenSpot-v2 grounding accuracy (Table 6) | Capabilities |
| Apr 27, 2026 | | 92.8 | ScreenSpot-v2, reasoning on, 93.4 reasoning off (Table 7) | Capabilities |
| Mar 26, 2026 | | 93.6 | ScreenSpot V2, non-thinking (Table 2) | Capabilities |
| Mar 4, 2026 | | 88.2 | ScreenSpotv2, default mode, 88.3 force nothink, 88.1 force thinking (Tables 5 and 6) | Capabilities |
| Jan 14, 2026 | | 92.6 | ScreenSpot-V2, SeRe (Table 1) | Capabilities |
| Nov 24, 2025 | | 89.3 | ScreenSpot-V2 (Table 13a) | Capabilities |
| Nov 6, 2025 | | 42.8 | ScreenSpot-v2, reasoning on (Table 3). Reasoning off 41.7 | Capabilities |
| Oct 31, 2025 | | 91.2 | ScreenSpot-v2 (Table 5) | Capabilities |
| Aug 25, 2025 | | 92.9 | ScreenSpot-v2 (Table 2, Table 10) | Capabilities |
| Jun 23, 2025 | Kimi-VL-A3B-Thinking-2506 technical report | 91.4 | ScreenSpot-V2 (Acc) (Table 5) | Capabilities |
| May 11, 2025 | | 95.2 | ScreenSpot-V2, thinking (Table 8) | Capabilities |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Source: Labs’ model cards
More in Computer and browser use
- BrowseComp In use Hard-to-find facts that need persistent web browsing. Short verifiable answers graded for exact correctness. Claude Fable 5 93.3%
- ScreenSpot-Pro In use GUI grounding on high-resolution professional-software screenshots. The model must locate the target UI element. GPT-6 Astra 92.7%
- AndroidWorld In use Agents complete 116 tasks across 20 real Android apps in an emulator. Each task checks the device's system state to judge success. GPT-6 Astra 100%
- OSWorld 2.1 In use Agents complete 108 long-horizon workflows across 31 self-hosted websites and desktop apps, averaging 318 tool calls. Scored by binary completion and checkpoint partial credit. Claude Opus 5.5 81.8%
- WebArena-Verified In use Agents complete 812 audited WebArena tasks on self-hosted websites. Deterministic evaluators check the agent's answer and captured network traces.
Muse Spark 1.1 69%
- MobileWorld In use Agents complete 201 tasks across 20 mobile apps, including tasks that need user clarification or MCP tools. Backend checks verify success. GPT-5 55.3%