# DSPy vs Together AI

**Leader by vioscaleAI score:** Together AI

| Attribute | DSPy | Together AI |
|---|---|---|
| **vioscaleAI score** | 54.1 (58% (medium)) | 76.7 (59% (medium)) |
| activity.commits_last_30d | 67 | - |
| adoption.dependent_repos | 3 | - |
| adoption.github_stars | 38,644 | - |
| adoption.package_downloads_weekly | 93,838 | - |
| content.faq | `[{"answer":"A Python framework for developing AI applications through declarative components and modular patterns, with built-in optimization that automatically tunes system performance against defined metrics. It is indexed under MLOps & LLMOps Tools.","source":"https://dspy.ai","question":"What is DSPy?","confidence":0.6},{"answer":"DSPy is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.","source":"https://dspy.ai","question":"Is DSPy free to use?","confidence":0.6},{"answer":"DSPy supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://dspy.ai","question":"What platforms does DSPy support?","confidence":0.6},{"answer":"Yes. DSPy can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://dspy.ai","question":"Can DSPy be self-hosted?","confidence":0.6},{"answer":"Yes. DSPy is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/stanfordnlp/dspy","question":"Is DSPy open source?","confidence":0.67},{"answer":"DSPy is available worldwide. The vendor is headquartered in the United States.","source":"https://dspy.ai","question":"Where is DSPy available?","confidence":0.75}]` | `[{"answer":"A cloud platform enabling developers to deploy, fine-tune, and run open-source AI models with optimized inference, serverless scaling, and dedicated computing resources. It is indexed under MLOps & LLMOps Tools.","source":"https://www.together.ai/blog/august-2023-pricing-update","question":"What is Together AI?","confidence":0.6},{"answer":"Together AI offers a free tier, so you can start without paying. Paid plans start at $0.00. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://www.together.ai/blog/august-2023-pricing-update","question":"Is Together AI free?","confidence":0.6},{"answer":"Together AI supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.together.ai/blog/august-2023-pricing-update","question":"What platforms does Together AI support?","confidence":0.6},{"answer":"Yes. Together AI can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.together.ai/blog/august-2023-pricing-update","question":"Can Together AI be self-hosted?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001 and GDPR for Together AI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Together AI not holding them. Always confirm compliance directly before you rely on it.","source":"https://trust.together.ai","question":"What security certifications does Together AI have?","confidence":0.7},{"answer":"Together AI is available worldwide. Its primary market is the United States.","source":"https://www.together.ai/blog/august-2023-pricing-update","question":"Where is Together AI available?","confidence":0.5}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true}` |
| description.long | Framework enabling developers to construct AI systems using typed task definitions and modular components, with automatic optimization replacing manual prompt design. | Together AI provides cloud infrastructure for deploying, fine-tuning, and training open-source AI models. It offers flexible deployment options including serverless inference, batch processing, reserved throughput, and dedicated GPU instances with optimized performance and cost efficiency. |
| features.capabilities | `{"role":"framework","evaluation":true,"managed_cloud":false,"model_serving":false,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"no_train_on_data":"unknown","llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":false}` | `{"role":"platform","evaluation":true,"soc2_type_ii":false,"compute_model":"multi_tenant_hybrid","managed_cloud":true,"model_serving":true,"pricing_model":"per_million_tokens","self_hostable":false,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"no_train_on_data":"yes","llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false,"openai_compatible_rest_api_schema":true,"bring_your_own_weights_byow_hosting":true,"dynamic_batching_and_kv_cache_management":false,"massive_context_window_support_100k_plus":true,"hipaa_baa_compliance_for_medical_inference":false,"multimodal_vision_and_audio_in_out_support":true,"native_function_calling_and_strict_json_mode":true,"streaming_server_sent_events_sse_token_yield":false,"lpu_or_custom_silicon_for_extreme_low_latency":false,"zero_data_retention_training_opt_out_enterprise":true}` |
| integrations.count | 1 | - |
| integrations.list | `[{"name":"OpenAI"},{"name":"Anthropic"}]` | - |
| language.primary | Python | - |
| license.spdx | MIT | - |
| market.availability | `{"hqCountry":"US","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"mac":true,"web":true,"linux":true,"windows":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://dspy.ai","retrievedAt":"2026-08-14T09:24:32.180Z"}` | `{"type":"usage","plans":[{"free":true,"name":"Build","summary":"Free tier","features":["Discord community support"],"description":"Community tier","contactSales":false},{"free":false,"name":"Scale","summary":"From $0.0015 per 1M tokens","features":["Serverless inference","Batch API","Standard Support (business hours)"],"components":[{"per":{"qty":1,"unit":"million tokens"},"kind":"metered","amount":0.0015,"currency":"USD"}],"description":"Pay-per-token inference with Standard Support","contactSales":false},{"free":false,"name":"Enterprise","summary":"Contact sales for reserved capacity pricing","features":["Provisioned throughput","Dedicated GPU instances","Silver/Gold Support","Dedicated support engineer"],"description":"Reserved capacity and dedicated infrastructure with Silver/Gold Support","contactSales":true}],"summary":"Pay-per-token usage starting from $0.0015 per 1M tokens. Free tier available. Dedicated instances and reserved throughput available upon request.","currency":"USD","freeTier":true,"sourceUrl":"https://www.together.ai/pricing","retrievedAt":"2026-10-02T16:26:49.735Z","startingPrice":{"unit":"million tokens","amount":0.0015,"currency":"USD"}}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | freemium |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.0015,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 17 | - |
| release.history | `[{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.4.1","date":"2026-10-12T23:12:32Z","type":"stable","version":"3.4.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.4.0","date":"2026-09-25T04:06:22Z","type":"stable","version":"3.4.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.4.0b1","date":"2026-09-11T22:24:51Z","type":"prerelease","version":"3.4.0b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.3.1","date":"2026-08-21T23:07:09Z","type":"stable","version":"3.3.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.3.0","date":"2026-08-03T20:06:03Z","type":"stable","version":"3.3.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.3.0b1","date":"2026-05-28T01:11:39Z","type":"prerelease","version":"3.3.0b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.2.1","date":"2026-05-05T19:37:48Z","type":"stable","version":"3.2.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.2.0","date":"2026-04-21T17:17:03Z","type":"stable","version":"3.2.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.3","date":"2026-02-05T16:18:52Z","type":"stable","version":"3.1.3"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.2","date":"2026-01-19T14:16:35Z","type":"stable","version":"3.1.2"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.1","date":"2026-01-19T02:30:49Z","type":"stable","version":"3.1.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.0","date":"2026-01-06T18:48:05Z","type":"stable","version":"3.1.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.0b1","date":"2025-11-18T00:26:51Z","type":"prerelease","version":"3.1.0b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.4","date":"2025-11-10T17:41:17Z","type":"stable","version":"3.0.4"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.4b2","date":"2025-10-21T23:30:37Z","type":"prerelease","version":"3.0.4b2"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.4b1","date":"2025-09-29T10:48:42Z","type":"prerelease","version":"3.0.4b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.3","date":"2025-08-31T18:47:21Z","type":"stable","version":"3.0.3"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.2","date":"2025-08-22T11:14:18Z","type":"stable","version":"3.0.2"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.1","date":"2025-08-14T17:36:58Z","type":"stable","version":"3.0.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.0","date":"2025-08-12T21:02:50Z","type":"stable","version":"3.0.0"}]` | - |
| reliability.sla_pct | - | 99 |
| reliability.status_page | yes | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.soc2 | - | yes |
| security.trust_center | - | https://www.together.ai/privacy |
| security.vulnerabilities | `{"count":1,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=dspy&per_page=100","last_12m":1,"max_severity":"MODERATE"}` | - |

## Capabilities (MLOps & LLMOps Tools)

| Capability | DSPy | Together AI |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | End-to-end ML platform |
| **Deployment** |  |  |
| Self-hostable / OSS core | ✓ | ✗ |
| Managed cloud available | ✗ | ✓ |
| On-prem / VPC deployment | ✓ | ✓ |
| **Observability** |  |  |
| LLM tracing / observability | ✓ | ✗ |
| Evaluation (offline / LLM-judge / human) | ✓ | ✓ |
| **Dev** |  |  |
| Prompt management + versioning | ✓ | ✗ |
| **Tracking** |  |  |
| Experiment tracking / model registry | ✗ | ✗ |
| **Serving** |  |  |
| Model serving / inference endpoint | ✗ | ✓ |
| **Interop** |  |  |
| OpenTelemetry / OpenLLMetry compatible | ✗ | ✗ |
| Framework-agnostic | ✓ | ✓ |
| **Gateway** |  |  |
| Multi-provider model support | ✓ | ✓ |
| **Data** |  |  |
| No-train-on-customer-data guarantee | Unknown | Yes |

*Source: vioscaleAI. Generated 2026-10-16T20:50:21.060Z. "-" = undocumented, not absent.*