Key Specifications
| Vendor | cohere |
|---|
| Version | light |
|---|
| Release Date | 2023-09-14 |
|---|
| Context Window | 4000 tokens |
|---|
| Input Modalities | text |
|---|
| Output Modalities | text |
|---|
| License | CC-BY-NC-4.0 |
|---|
| Documentation | https://docs.cohere.com/docs |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 52.8 | % | 2023-09-14 | 5-shot | view |
| HUMANEVAL | 51.2 | pass@1 | 2023-09-14 | — | view |
| GSM8K | 39.8 | % | 2023-09-14 | 0-shot CoT | view |
| MATH | 24.1 | % | 2023-09-14 | 0-shot CoT | view |
| BBH | 55.5 | % | 2023-09-14 | 3-shot CoT | view |
| GPQA | 30.1 | % | 2023-09-14 | 0-shot | view |
| IFEVAL | 53.9 | % | 2023-09-14 | prompt_strict | view |
| ARC | 85.9 | % | 2023-09-14 | challenge | view |
| MUSR | 40.7 | % | 2023-09-14 | 0-shot | view |
| WINOGRANDE | 74.7 | % | 2023-09-14 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $0.5 / Mtok | USD |
| Output | $0.5 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://cohere.com/pricing
· as of 2023-09-14
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✗
- GDPR: ✓
- ISO 27001: ✓
Command Light
Model Overview
Cohere Command Light 经济型模型, 4K 上下文, 速度快成本低, 适合简单任务与高吞吐场景。
Core Specifications
| Vendor | Version | Release Date | Context Window | Input Modalities | Output Modalities | License |
|---|
| Cohere | light | 2023-09-14 | 4K | text | text | CC-BY-NC-4.0 |
| Benchmark | Score | Unit | Notes |
|---|
| MMLU (Massive Multitask Language Understanding) | 52.8 | % | 5-shot |
| HumanEval | 51.2 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 39.8 | % | 0-shot CoT |
| MATH | 24.1 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 55.5 | % | 3-shot CoT |
| GPQA | 30.1 | % | 0-shot |
| IFEval | 53.9 | % | prompt_strict |
| ARC | 85.9 | % | challenge |
| MUSR | 40.7 | % | 0-shot |
| WinoGrande | 74.7 | % | 0-shot |
Pricing
| Input | Output | Cache Read | Cache Write |
|---|
| — | — | — | — |
per million tokens
Strengths
- Reliable general-purpose model.
Weaknesses
- MMLU 52.8, weak knowledge reasoning.
- Proprietary, not self-hostable.
- Context window 4K is limited.
Use Cases
References