Cohere's model optimized for enterprise RAG workflows with built-in search and retrieval capabilities for business applications.
| Benchmark | Description | Score | Category | Bar |
|---|---|---|---|---|
| MMLU | Massive Multitask Language Understanding | 84% | knowledge | |
| HumanEval | Code generation accuracy | 82.4% | coding | |
| MATH | Mathematical reasoning | 77.2% | math | |
| GSM8K | Grade school math | 82% | math | |
| GPQA | Graduate-level science Q&A | 43.2% | reasoning | |
| HellaSwag | Common sense reasoning | 83.4% | reasoning | |
| SWE-bench | Software engineering problems | 28.1% | coding | |
| ARC-C | AI2 Reasoning Challenge | 91% | reasoning |