# Cohere Embed vs FastEmbed

**Leader by Vioscale score:** Cohere Embed

| Attribute | Cohere Embed | FastEmbed |
|---|---|---|
| **Vioscale score** | 69.1 (45% (low)) | 46.6 (31% (low)) |
| activity.commits_last_30d | - | 13 |
| adoption.dependent_repos | - | 4 |
| adoption.github_stars | - | 3,166 |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"on_prem":true,"self_hosted":true}` |
| description.long | An embedding and semantic search service that converts unstructured text and images into numerical vectors, enabling fast similarity search and AI-powered document ranking within your own data environment. Supports 49 languages and can be deployed on your infrastructure or via Cohere's managed cloud. | A Python library that creates vector embeddings from text and images using efficient, quantized model weights optimized for speed and local inference. Supports multiple embedding architectures including multilingual models and outperforms OpenAI's Ada-002 in accuracy. |
| features.capabilities | `{"soc2_type_ii":true,"pricing_model":"per_million_tokens_api","architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true,"multilingual_support_across_100_plus_languages":true,"zero_data_retention_training_opt_out_enterprise":true}` | `{"pricing_model":"free_open_weights","architecture_model":"open_weights_local","cross_encoder_reranker_api_offered":true,"mit_or_apache_permissive_oss_license":true,"late_interaction_architecture_colbert_v2":true,"multi_modal_image_and_text_joint_embeddings":true,"massive_context_window_greater_than_8k_tokens":true,"multilingual_support_across_100_plus_languages":true,"binary_and_scalar_quantization_for_memory_reduction":true,"task_specific_prefixes_query_vs_document_instructions":true}` |
| integrations.count | - | 1 |
| integrations.list | - | `[{"name":"Qdrant"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"CA","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | - |
| pricing | `{"type":"usage","summary":"Pay-as-you-go usage pricing. Free tier for testing.","currency":"USD","freeTier":true,"sourceUrl":"https://cohere.com/de/pricing","retrievedAt":"2026-08-21T11:03:30.417Z","billingPeriods":["month"]}` | - |
| pricing.free_tier | yes | - |
| pricing.model | freemium | - |
| pricing.price_level | low | - |
| pricing.transparent | yes | - |
| release.cadence_days | - | 33 |
| release.history | - | `[{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.8.0","date":"2026-03-23T17:14:03Z","type":"stable","version":"v0.8.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.4","date":"2025-12-05T12:18:02Z","type":"stable","version":"v0.7.4"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.2","date":"2025-08-25T15:05:56Z","type":"stable","version":"v0.7.2"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.1","date":"2025-06-16T09:06:43Z","type":"stable","version":"v0.7.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.7.0","date":"2025-05-13T14:32:19Z","type":"stable","version":"v0.7.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.6.1","date":"2025-04-10T13:51:36Z","type":"stable","version":"v0.6.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.6.0","date":"2025-02-26T13:55:32Z","type":"stable","version":"v0.6.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.5.1","date":"2025-01-20T10:43:31Z","type":"stable","version":"v0.5.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.5.0","date":"2024-12-24T19:53:25Z","type":"stable","version":"v0.5.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.4.2","date":"2024-11-13T13:41:59Z","type":"stable","version":"v0.4.2"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.4.1","date":"2024-10-21T20:30:12Z","type":"stable","version":"v0.4.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.4.0","date":"2024-10-21T18:19:56Z","type":"stable","version":"v0.4.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.5","date":"2024-08-23T18:16:09Z","type":"stable","version":"v0.3.5"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.4","date":"2024-07-17T15:31:05Z","type":"stable","version":"v0.3.4"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.1","date":"2024-06-17T18:05:55Z","type":"stable","version":"v0.3.1"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.3.0","date":"2024-06-05T17:11:17Z","type":"stable","version":"v0.3.0"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.7","date":"2024-05-03T19:56:28Z","type":"stable","version":"v0.2.7"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.6","date":"2024-04-01T15:30:37Z","type":"stable","version":"v0.2.6"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.5","date":"2024-03-20T13:44:11Z","type":"stable","version":"v0.2.5"},{"url":"https://github.com/qdrant/fastembed/releases/tag/v0.2.4","date":"2024-03-13T18:26:53Z","type":"stable","version":"v0.2.4"}]` |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.soc2 | yes | - |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=fastembed&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Embeddings Apis)

| Capability | Cohere Embed | FastEmbed |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Managed cloud API | Open weights local |
| Matryoshka representation learning for dimension truncation | - | - |
| Multilingual support across 100 plus languages | ✓ | ✓ |
| Binary and scalar quantization for memory reduction | - | ✓ |
| Cross encoder reranker API offered | - | ✓ |
| Late interaction architecture colbert v2 | - | ✓ |
| Massive context window greater than 8k tokens | - | ✓ |
| Multi modal image and text joint embeddings | ✓ | ✓ |
| Task specific prefixes query vs document instructions | - | ✓ |
| Zero data retention training opt out enterprise | ✓ | - |
| SOC2 type ii | ✓ | - |
| Mit or apache permissive oss license | - | ✓ |
| Pricing model | Per million tokens API | Free open weights |

*Source: Vioscale. Generated 2026-09-01T16:34:15.397Z. "-" = undocumented, not absent.*