Code World Model (CWM)
Code World Model (CWM) places in the top three on CRUXEval.
31
Benchmarks with a score
0
Ranked first, out of five or more models
1
In the top three
Code World Model (CWM)
Open weights Mid-size
130.0
#274 of 404
Self-Reported Index, from the lab's own numbers. No Epoch Capabilities Index score yet.
- LiveCodeBench v5 68.6% #13 /47
- Virology Capabilities Test (VCT) 23.8% #31 /31
- BioLP-bench 17.7% #9 /9
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GSM8K | 93.3% | #22 of 92 | Lab model card | |
| MATH-500 | 96.6% | #26 of 70 | Lab model card | |
| AIME 2024 | 76% | #52 of 88 | Lab model card | |
| AIME 2025 | 68.2% | #115 of 143 | Lab model card | |
| GPQA Diamond | 40.6% | #271 of 302 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| CRUXEval | 94.3% | #2 of 9 | Lab model card | |
| LiveCodeBench v5 | 68.6% | #13 of 47 | Lab model card | |
| MBPP | 73.4% | #37 of 71 | Lab model card | |
| SWE-bench Verified | 65.8% | #99 of 155 | Lab model card | |
| HumanEval+ | 75% | #21 of 27 | Lab model card | |
| LiveCodeBench v6 | 63.5% | #72 of 90 | Lab model card | |
| AIRS-Bench | 0.30 | #4 of 5 | Official leaderboard | |
| Aider Polyglot | 35.1% | #25 of 30 | Lab model card | |
| HaltEval-prelim (Meta) | 94% | #1 of 1 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Terminal-Bench | 26.3% | #22 of 22 | Lab model card |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| PROWBench | 67.0 | #2 of 2 | Official leaderboard | |
| WorldArena 2.0 | 69.5% | #1 of 1 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| WMDP Chemistry | 64.6% | #6 of 7 | Lab model card | |
| Cybench | 25% | #17 of 18 | Lab model card | |
| MASK | 44.8% | #18 of 19 | Lab model card | |
| Virology Capabilities Test (VCT) | 23.8% | #31 of 31 | Lab model card | |
| BioLP-bench | 17.7% | #9 of 9 | Lab model card | |
| Human Pathogen Capabilities Test | 31.2% | #9 of 9 | Lab model card | |
| Molecular Biology Capabilities Test | 32.7% | #8 of 8 | Lab model card | |
| WMDP Biology | 78.1% | #8 of 8 | Lab model card | |
| WMDP Cyber | 63.6% | #2 of 2 | Lab model card | |
| Hack the Box Machines (Meta) | 41% | #1 of 1 | Lab model card | |
| Meta BioProtocol Proxy | 43.6% | #1 of 1 | Lab model card | |
| Native Code Exploitation (Meta) | 8.30% | #1 of 1 | Lab model card |
Its lab's numbers put it at 130.0, number 274 of 404
The Self-Reported Index fits one score to the 15 capability results Meta reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 126.8 to 133.1. How we compute it.
- MATH-500 96.6
- CRUXEval 94.3
- GSM8K 93.3
- MMLU 77.7
- AIME 2024 76
- HumanEval+ 75
- MBPP 73.4
- LiveCodeBench v5 68.6
- AIME 2025 68.2
- SWE-bench Verified 65.8
- LiveCodeBench v6 63.5
- MMLU-Pro 60.2
- GPQA Diamond 40.6
- Aider Polyglot 35.1
- Terminal-Bench 26.3
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system cards
Every result in the longer documents the lab published with it. 12 of them aren't in the launch post.
Capabilities
- SWE-bench Verified 65.8
- Aider Polyglot 35.1
- Terminal-Bench 26.3
- CRUXEval 94.3
- HaltEval-prelim (Meta) 94
- BigO(Bench)
- LiveCodeBench v5 68.6
- LiveCodeBench v6 63.5
- MATH-500 96.6
- AIME 2024 76
- AIME 2025 68.2
- MMLU 77.7
- MMLU-Pro 60.2
- GPQA Diamond 40.6
- GSM8K 93.3
- HumanEval+ 75
- MBPP 73.4
- RULER
Code World Model Preparedness Report Oct 8, 2025
Alignment
- MASK 44.8