Qwen-AgentWorld-397B-A17B vs Fable-5
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Benchmark Scores Comparison
Qwen-AgentWorld-397B-A17B
Fable-5
Qwen-AgentWorld-397B-A17B
Score: 15.0
Fable-5
Score: 15.0
Coverage matrix
2 models × 47 benchmarks — hover a benchmark name for its category
Shading = score relative to the best score among the selected models:
Low
Mid
High
Missing (—)
The totals row shows how many of the 47 benchmarks each model has scores for.
| Benchmark | Qwen-AgentWorld-397B-A17B Qwen Team (Alibaba Cloud) | Fable-5 Anthropic |
|---|---|---|
| GPQA Diamond | — | 92.6 |
| Automation-Bench | — | 29.1 |
| SWE-bench Pro | — | 80 |
| PRBench-Finance | — | 55.8 |
| AgentWorldBench Terminal | 57.73 | — |
| Agents' Last Exam | — | 23.8 |
| Toolathlon Verified | — | 77.9 |
| PLawBench | — | 70.2 |
| AgentWorldBench Overall | 58.71 | — |
| QwenReactBench | — | 1770 |
| QwenSVGBench | — | 1690 |
| AgentWorldBench Web | 50.98 | — |
| PRBench-Legal | — | 57.6 |
| PostTrainBench | — | 41.8 |
| DSBench-FullStack | — | 77.2 |
| Terminal-Bench 3.0 | — | 33.7 |
| WorkSpaceBench | — | 68.7 |
| AgentWorldBench Search | 37.82 | — |
| ExploitGym (6h) | — | 247 |
| HLE (with tools) | — | 64.5 |
| FrontierSWE | — | 88.2 |
| SkillsBench | — | 70.9 |
| CoWorkBench | — | 75.9 |
| PaperBench | — | 88.8 |
| IFBench | — | 63.5 |
| Humanity's Last Exam | — | 53.3 |
| DSBench-Hard | — | 68.3 |
| QwenSWEBench | — | 86.3 |
| ExploitGym (2h) | — | 181 |
| DeepSWE | — | 70 |
| ExploitBench | — | 78 |
| AgentWorldBench OS | 67.89 | — |
| AgentWorldBench MCP | 68.24 | — |
| Terminal Bench 2.1 | — | 84.6 |
| AgentWorldBench SWE | 68.49 | — |
| JobBench | — | 57.4 |
| $OneMillion-Bench | — | 55.9 |
| QwenQoderBench | — | 63.1 |
| WideSearch | — | 81.2 |
| ProgramBench | — | 33 |
| AndroidBench | — | 84.5 |
| SWE-Marathon | — | 33.1 |
| Cybergym | — | 83.1 |
| AgentWorldBench Android | 60.2 | — |
| DeepSWE 1.1 | — | 70 |
| MLS-Bench-Lite | — | 49.9 |
| GDPVal-AA v2 | — | 1743 |
| Covered | 8/47 | 39/47 |
Scorecard
Overall 0–100 score — category strengths (50%), shared-benchmark wins (30%), coverage (20%)
| Model | Overall score | Shared benchmark wins | Coverage | Strongest at | Weakest at |
|---|---|---|---|---|---|
| Fable-5 | 83 | — | 39 of 47 (83.0%) | — | — |
| Qwen-AgentWorld-397B-A17B | 17 | — | 8 of 47 (17.0%) | — | — |
Partial coverage benchmarks
Scored by at least one but not all selected models (47) — missing scores show as —
| Benchmark | Category | Qwen-AgentWorld-397B-A17B | Fable-5 |
|---|---|---|---|
| GPQA Diamond 1/2 models | stem_reasoning | — | 92.6 |
| Automation-Bench 1/2 models | general_agent | — | 29.1 |
| SWE-bench Pro 1/2 models | coding_agent | — | 80 |
| PRBench-Finance 1/2 models | general_capabilities | — | 55.8 |
| AgentWorldBench Terminal 1/2 models | general_agent | 57.73 | — |
| Agents' Last Exam 1/2 models | general_agent | — | 23.8 |
| Toolathlon Verified 1/2 models | general_agent | — | 77.9 |
| PLawBench 1/2 models | general_capabilities | — | 70.2 |
| AgentWorldBench Overall 1/2 models | general_agent | 58.71 | — |
| QwenReactBench 1/2 models | coding_agent | — | 1770 |
| QwenSVGBench 1/2 models | coding_agent | — | 1690 |
| AgentWorldBench Web 1/2 models | general_agent | 50.98 | — |
| PRBench-Legal 1/2 models | general_capabilities | — | 57.6 |
| PostTrainBench 1/2 models | coding_agent | — | 41.8 |
| DSBench-FullStack 1/2 models | coding_agent | — | 77.2 |
| Terminal-Bench 3.0 1/2 models | coding_agent | — | 33.7 |
| WorkSpaceBench 1/2 models | general_agent | — | 68.7 |
| AgentWorldBench Search 1/2 models | general_agent | 37.82 | — |
| ExploitGym (6h) 1/2 models | cybersecurity | — | 247 |
| HLE (with tools) 1/2 models | stem_reasoning | — | 64.5 |
| FrontierSWE 1/2 models | coding_agent | — | 88.2 |
| SkillsBench 1/2 models | general_agent | — | 70.9 |
| CoWorkBench 1/2 models | general_agent | — | 75.9 |
| PaperBench 1/2 models | coding_agent | — | 88.8 |
| IFBench 1/2 models | instruction_following | — | 63.5 |
| Humanity's Last Exam 1/2 models | stem_reasoning | — | 53.3 |
| DSBench-Hard 1/2 models | coding_agent | — | 68.3 |
| QwenSWEBench 1/2 models | coding_agent | — | 86.3 |
| ExploitGym (2h) 1/2 models | cybersecurity | — | 181 |
| DeepSWE 1/2 models | coding_agent | — | 70 |
| ExploitBench 1/2 models | cybersecurity | — | 78 |
| AgentWorldBench OS 1/2 models | general_agent | 67.89 | — |
| AgentWorldBench MCP 1/2 models | general_agent | 68.24 | — |
| Terminal Bench 2.1 1/2 models | coding_agent | — | 84.6 |
| AgentWorldBench SWE 1/2 models | general_agent | 68.49 | — |
| JobBench 1/2 models | general_agent | — | 57.4 |
| $OneMillion-Bench 1/2 models | general_capabilities | — | 55.9 |
| QwenQoderBench 1/2 models | coding_agent | — | 63.1 |
| WideSearch 1/2 models | general_agent | — | 81.2 |
| ProgramBench 1/2 models | coding_agent | — | 33 |
| AndroidBench 1/2 models | coding_agent | — | 84.5 |
| SWE-Marathon 1/2 models | coding_agent | — | 33.1 |
| Cybergym 1/2 models | general_agent | — | 83.1 |
| AgentWorldBench Android 1/2 models | general_agent | 60.2 | — |
| DeepSWE 1.1 1/2 models | coding_agent | — | 70 |
| MLS-Bench-Lite 1/2 models | coding_agent | — | 49.9 |
| GDPVal-AA v2 1/2 models | general_agent | — | 1743 |