# DSPy vs Together AI

**Leader by Vioscale score:** Together AI

| Attribute | DSPy | Together AI |
|---|---|---|
| **Vioscale score** | 60.9 (68% (medium)) | 72.8 (60% (medium)) |
| activity.commits_last_30d | 67 | - |
| adoption.dependent_repos | 3 | - |
| adoption.github_stars | 37,611 | - |
| adoption.package_downloads_weekly | 156,385 | - |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true}` |
| description.long | 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. | Together AI provides cloud infrastructure for hosting and serving open-source language, image, audio, and video models through serverless inference, reserved capacity, and dedicated GPU instances. The platform includes fine-tuning capabilities, batch processing, managed storage, and GPU cluster support for custom model development and training—eliminating the need for users to manage underlying infrastructure. |
| 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":false,"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":false,"bring_your_own_weights_byow_hosting":true,"dynamic_batching_and_kv_cache_management":false,"massive_context_window_support_100k_plus":false,"hipaa_baa_compliance_for_medical_inference":false,"multimodal_vision_and_audio_in_out_support":true,"native_function_calling_and_strict_json_mode":false,"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"}]` | - |
| 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}` | `{"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":false,"name":"Serverless Inference","summary":"From $0.00014–$15/1M tokens depending on model. Pay only for usage.","features":["50+ open-source models","Variable pricing by model and token type","Batch API support","Private endpoints"],"components":[{"per":{"qty":1000000,"unit":"tokens"},"kind":"metered","amount":0.00014,"currency":"USD"}],"contactSales":false},{"free":false,"name":"Provisioned Throughput","summary":"Reserved throughput capacity with 99% SLA. PTU-based pricing structure.","features":["Reserved token capacity","99% uptime SLA","Token-based pricing model","Production-grade reliability"],"commitment":"monthly","contactSales":false},{"free":false,"name":"Dedicated Inference","summary":"$3.69–$8.99 per GPU per hour (on-demand); reserved discounts available.","features":["Single-tenant GPU instances","Guaranteed performance (no resource sharing)","Custom model support","Autoscaling for traffic spikes"],"commitment":"monthly","components":[{"kind":"fixed","amount":3.69,"period":"hour","currency":"USD"}],"contactSales":false}],"addOns":[{"name":"Fine-Tuning","components":[{"per":{"qty":1000000,"unit":"tokens"},"kind":"metered","amount":0.48,"currency":"USD"}]},{"name":"Managed Storage"},{"name":"GPU Clusters"}],"summary":"Usage-based pricing starting from $0.00014/1M tokens for serverless inference. Reserved capacity and dedicated GPU instances available; on-demand GPU pricing from $3.69/hour.","currency":"USD","freeTier":false,"sourceUrl":"https://www.together.ai/pricing","retrievedAt":"2026-08-21T12:44:34.463Z","startingPrice":{"unit":"tokens","amount":0.00014,"currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | yes | no |
| pricing.model | commercial | commercial |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.00014,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 18 | - |
| release.history | `[{"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"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.0b4","date":"2025-08-11T16:42:24Z","type":"stable","version":"3.0.0b4"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.0b3","date":"2025-07-19T16:52:19Z","type":"stable","version":"3.0.0b3"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.0b2","date":"2025-07-01T02:32:34Z","type":"stable","version":"3.0.0b2"}]` | - |
| reliability.sla_pct | - | 99 |
| reliability.status_page | yes | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.iso27001 | - | yes |
| security.soc2 | - | yes |
| 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: Vioscale. Generated 2026-09-01T17:14:04.345Z. "-" = undocumented, not absent.*