Fable-5 vs OpenAI o3
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Benchmark Scores Comparison
Fable-5
OpenAI o3
Fable-5
Score: 15.0
OpenAI o3
Score: 15.0
Coverage matrix
2 models × 40 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 40 benchmarks each model has scores for.
| Benchmark | Fable-5 Anthropic | OpenAI o3 OpenAI |
|---|---|---|
| GPQA Diamond | 92.6 | — |
| Automation-Bench | 29.1 | — |
| SWE-bench Pro | 80 | — |
| PRBench-Finance | 55.8 | — |
| Agents' Last Exam | 23.8 | — |
| Toolathlon Verified | 77.9 | — |
| PLawBench | 70.2 | — |
| QwenReactBench | 1770 | — |
| QwenSVGBench | 1690 | — |
| PRBench-Legal | 57.6 | — |
| PostTrainBench | 41.8 | — |
| DSBench-FullStack | 77.2 | — |
| Terminal-Bench 3.0 | 33.7 | — |
| MMMLU | — | 88.8 |
| WorkSpaceBench | 68.7 | — |
| 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 | — |
| Terminal Bench 2.1 | 84.6 | — |
| 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 | — |
| DeepSWE 1.1 | 70 | — |
| MLS-Bench-Lite | 49.9 | — |
| GDPVal-AA v2 | 1743 | — |
| Covered | 39/40 | 1/40 |
Scorecard
Overall 0–100 score — category strengths (50%), shared-benchmark wins (30%), coverage (20%)
Partial coverage benchmarks
Scored by at least one but not all selected models (40) — missing scores show as —
| Benchmark | Category | Fable-5 | OpenAI o3 |
|---|---|---|---|
| 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 | — |
| 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 | — |
| QwenReactBench 1/2 models | coding_agent | 1770 | — |
| QwenSVGBench 1/2 models | coding_agent | 1690 | — |
| 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 | — |
| MMMLU 1/2 models | multilingual | — | 88.8 |
| WorkSpaceBench 1/2 models | general_agent | 68.7 | — |
| 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 | — |
| Terminal Bench 2.1 1/2 models | coding_agent | 84.6 | — |
| 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 | — |
| 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 | — |