DeepInfra vs Vespa
DeepInfra scores higher on the AgentReady, 83/100 against 56/100. 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
DeepInfra. DeepInfra is an AI inference cloud that makes it simple to run the latest machine learning models at scale — LLMs, vision, embeddings, image generation, video generation, speech, and more.
Vespa. Vespa.ai develops the Vespa AI Search Platform, a distributed serving engine that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications.
Where DeepInfra is ahead
DeepInfra passes openapi / spec quality, authentication documented, request examples provided, response examples provided and errors and status codes documented, and Vespa does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: agent-compatible signup flow and programmatic credential creation. Vespa misses those.
And on operate, structured, predictable output, machine-readable errors and rate-limit behavior predictable. Vespa misses those.
What neither does
Both fail mcp discoverable, no mandatory sales call, mcp integration available, retry behavior documented, idempotency support, 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. Both sit at 87/100 here. DeepInfra misses mcp discoverable; Vespa misses mcp discoverable.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. DeepInfra leads 100 to 46. DeepInfra misses nothing; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.
Adopt. DeepInfra leads 75 to 55. DeepInfra misses no mandatory sales call, mcp integration available; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.
Operate. DeepInfra leads 71 to 35. DeepInfra misses retry behavior documented, idempotency support, agent compatibility verified; Vespa misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
DeepInfra does not publish a machine-readable starting price with no free tier. Vespa starts at $0.05/hour with no free tier.
| DeepInfra plans | Vespa plans |
|---|---|
| - | Startup vCPU $0.05/hour, Memory GB $0.005/hour, Disk GB $0.0002/hour, GPU Memory GB $0.03/hour |
| - | Basic vCPU $0.1/hour, Memory GB $0.01/hour, Disk GB $0.0004/hour, GPU Memory GB $0.07/hour |
| - | Commercial vCPU $0.145/hour, Memory GB $0.0145/hour, Disk GB $0.0005/hour, GPU Memory GB $0.1/hour |
| - | Enterprise vCPU $0.18/hour, Memory GB $0.018/hour, Disk GB $0.0007/hour, GPU Memory GB $0.125/hour |
| - | Self Managed Contact Sales |
Signal by signal
| Signal | DeepInfra | Vespa |
|---|---|---|
| AgentReady | 83 | 56 |
| Discovery | 87 | 87 |
| Understanding | 100 | 46 |
| Adoption | 75 | 55 |
| Operability | 71 | 35 |
| Public API | Yes | Yes |
| MCP server | Unknown | No |
| OpenAPI spec | Yes | Yes |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | No | No |
Which to pick
DeepInfra clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: DeepInfra and Vespa. Alternatives to each: DeepInfra, Vespa.
An agent can fetch this as data: POST /v1/compare {"slugs": ["deepinfra", "vespa"]}