# Web Agent Search and Reasoning on xbench deepsearch

Source: [Web Agent Search and Reasoning on xbench deepsearch](<https://www.sota2.com/research/sota/web-agent-search-and-reasoning-on-xbench-deepsearch>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:32:47.923Z

Evaluation of model performance on Web Agent Search and Reasoning capabilities using the xbench deepsearch dataset, measured by Acc, F-AE, Rounds, and Token usage.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Web Agent Search and Reasoning |
| Dataset (including any stated split) | xbench deepsearch |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/web-agent-search-and-reasoning-on-xbench-deepsearch.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [F-AE](<https://www.sota2.com/research/sota/web-agent-search-and-reasoning-on-xbench-deepsearch.md?metric=F-AE>): Lower is better; unit: SCALAR.

- [Rounds](<https://www.sota2.com/research/sota/web-agent-search-and-reasoning-on-xbench-deepsearch.md?metric=Rounds>): Lower is better; unit: SCALAR.

- [Token Usage](<https://www.sota2.com/research/sota/web-agent-search-and-reasoning-on-xbench-deepsearch.md?metric=Token%20Usage>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| WebClipper (Hybrid) | 73.3 | Not recorded | 6992a46f9ebc499c97406ba0 |
| Tongyi-DeepResearch | 71.3 | Not recorded | 6992a46f9ebc499c97406ba0 |
| WebClipper (Eff) | 71.3 | Not recorded | 6992a46f9ebc499c97406ba0 |
| Prompt Control | 67.6 | Not recorded | 6992a46f9ebc499c97406ba0 |
| OpenAI o3 | 67 | Not recorded | 6992a46f9ebc499c97406ba0 |
| Claude-4-Sonnet | 64.6 | Not recorded | 6992a46f9ebc499c97406ba0 |
| Coarse Prune | 60.3 | Not recorded | 6992a46f9ebc499c97406ba0 |
| Kimi-K2-Instruct-0905 | 54 | Not recorded | 6992a46f9ebc499c97406ba0 |
| WebExplorer | 51.7 | Not recorded | 6992a46f9ebc499c97406ba0 |
| Qwen3-235B-A22B-Instruct-2507 | 49 | Not recorded | 6992a46f9ebc499c97406ba0 |
| DeepSeek-R1-671B | 42.7 | Not recorded | 6992a46f9ebc499c97406ba0 |

### WebClipper (Hybrid)

Accuracy: 73.3. Result ID: 699a526e5698665ec4da0d13.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

Recorded evaluation configuration: {"Category":"Pruning Method","Base Model":"Tongyi-DeepResearch","Variant":"Hybrid"}. This record does not assert independent reproduction.

### Tongyi-DeepResearch

Accuracy: 71.3. Result ID: 699a526e5698665ec4da0d0f.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69019f853ef7ccd74e5e3b7f.md>)

Recorded evaluation configuration: {"Category":"Open-sourced Agent","Evaluation Environment":"Unified"}. This record does not assert independent reproduction.

### WebClipper (Eff)

Accuracy: 71.3. Result ID: 699a526e5698665ec4da0d12.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

Recorded evaluation configuration: {"Category":"Pruning Method","Base Model":"Tongyi-DeepResearch","Variant":"Efficiency"}. This record does not assert independent reproduction.

### Prompt Control

Accuracy: 67.6. Result ID: 699a526e5698665ec4da0d10.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

Recorded evaluation configuration: {"Category":"Pruning Method","Base Model":"Tongyi-DeepResearch"}. This record does not assert independent reproduction.

### OpenAI o3

Accuracy: 67. Result ID: 699a526e5698665ec4da0d09.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

Recorded evaluation configuration: {"Category":"Close-sourced System"}. This record does not assert independent reproduction.

### Claude-4-Sonnet

Accuracy: 64.6. Result ID: 699a526e5698665ec4da0d0a.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

Recorded evaluation configuration: {"Category":"Close-sourced System"}. This record does not assert independent reproduction.

### Coarse Prune

Accuracy: 60.3. Result ID: 699a526e5698665ec4da0d11.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

Recorded evaluation configuration: {"Category":"Pruning Method","Base Model":"Tongyi-DeepResearch"}. This record does not assert independent reproduction.

### Kimi-K2-Instruct-0905

Accuracy: 54. Result ID: 699a526e5698665ec4da0d0b.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a4a1e209131cea823a1.md>)

Recorded evaluation configuration: {"Category":"Open-sourced Agent","Evaluation Environment":"Unified"}. This record does not assert independent reproduction.

### WebExplorer

Accuracy: 51.7. Result ID: 699a526e5698665ec4da0d0e.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7ba71e209131cea89abb.md>)

Recorded evaluation configuration: {"Category":"Open-sourced Agent"}. This record does not assert independent reproduction.

### Qwen3-235B-A22B-Instruct-2507

Accuracy: 49. Result ID: 699a526e5698665ec4da0d0d.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa788e1e209131cea79116.md>)

Recorded evaluation configuration: {"Category":"Open-sourced Agent","Evaluation Environment":"Unified"}. This record does not assert independent reproduction.

### DeepSeek-R1-671B

Accuracy: 42.7. Result ID: 699a526e5698665ec4da0d0c.

[Reporting paper](<https://www.sota2.com/research/paper/6992a46f9ebc499c97406ba0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76a91e209131cea6e3eb.md>)

Recorded evaluation configuration: {"Category":"Open-sourced Agent","Evaluation Environment":"Unified"}. This record does not assert independent reproduction.

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