DSPy vs Together AI
DSPy scores higher on the AgentReady, 47/100 against 46/100. They differ on 10 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
DSPy. DSPy is a Python framework for building AI systems.
Together AI. Full-stack AI platform, powered by cutting-edge research
Where DSPy is ahead
DSPy passes search discoverable, clear product positioning and mcp discoverable, and Together AI does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: cli available and mcp integration available. Together AI misses those.
Where Together AI is ahead
Together AI passes public docs discoverable and llms-full.txt / full agent docs, and DSPy does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: structured api reference. DSPy misses it.
And on adopt, official typescript sdk. DSPy misses it.
Finally, on operate, observable execution. DSPy misses it.
What neither does
Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover is whether an agent can find the product at all without being told it exists. DSPy leads 80 to 60. DSPy misses public docs discoverable, llms-full.txt / full agent docs; Together AI misses search discoverable, clear product positioning, mcp discoverable.
Understand. Together AI leads 38 to 23. DSPy misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Together AI misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. DSPy leads 60 to 52. DSPy misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, official typescript sdk; Together AI misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available.
Operate. Together AI leads 35 to 24. DSPy misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Together AI misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
DSPy does not publish a machine-readable starting price and has a free tier. Together AI starts at $0.00 and has a free tier.
| DSPy plans | Together AI plans |
|---|---|
| - | Serverless Inference Usage-based per 1M tokens |
| - | Provisioned Throughput Custom |
| - | Dedicated Inference Custom |
| - | GPU Clusters Custom |
| - | Sandbox Custom |
| - | Managed Storage Custom |
| - | Fine-Tuning Custom |
Signal by signal
| Signal | DSPy | Together AI |
|---|---|---|
| AgentReady | 47 | 46 |
| Discovery | 80 | 60 |
| Understanding | 23 | 38 |
| Adoption | 60 | 52 |
| Operability | 24 | 35 |
| Public API | Yes | Yes |
| MCP server | Yes | No |
| OpenAPI spec | No | Yes |
| CLI | Yes | Unknown |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Signal counts are level here, so fit and price decide it. Full profiles: DSPy and Together AI. Alternatives to each: DSPy, Together AI.
An agent can fetch this as data: POST /v1/compare {"slugs": ["dspy", "together"]}