DeepInfra
DeepInfra publishes a pricing page with 4 discoverable plan tier(s). No per-unit price was found on the page; an agent has no direct way to estimate the cost of a single task. All advertised paths route to a sales conversation rather than a self-serve checkout. No public API documentation URL was discovered.
Pricing summary
Contact sales
How DeepInfra scores on the agent-ready dimensions
Public pricing
15 / 15
Usage-based / metered
0 / 25
Self-serve checkout
0 / 15
Public API
0 / 15
Low / no minimum
0 / 10
Unauth automated payment
0 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
15 / 100
Six-step check: can an agent actually buy from DeepInfra?
Discover price
https://deepinfra.com/pricing — model-by-model tablesSelect a plan
Five Usage Tiers programmatically distinctPay per task
Per-token billing on every LLM and per-image formula on FluxAvoid a sales call
All self-serve; only DGX clusters gatedAPI docs without auth
https://docs.deepinfra.com publicEstimate cost upfront
Explicit per-MTok plus context length per modelPros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-03. Not a review of the product — only of its current pricing posture for agent buyers.- Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
- Per-unit billing is published, so an agent can budget for a single task before committing.
- API documentation is reachable without a login — discovery and integration can happen in one session.
- Per-unit rate is concrete enough that an agent can model expected spend before issuing a request.
- Some tiers are sales-led; the highest-capacity surfaces are not self-serve.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
How DeepInfra could lift its score
Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.
| pricing_visible | true |
| headline_phrasing | Simple Pricing, Deep Infrastructure — DeepInfra raises $107M Series B to scale the inference cloud — read the announcement |
| tier_count | 4 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 0 |
| sales_only_tiers | 1 |
| public_api_docs_url | null |
| api_docs_auth_walled | null |
| ai_pricing_json_present | false |
| agents_txt_present | false |
| anonymous_purchase_path | false |
| per_unit_classification | null |
| usage_headline_present | true |
| custom_tier_present | true |
| agent_friendly | {"ai_pricing_json":false,"agents_txt":false,"llms_txt":false,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
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See agent-ready picksDeepInfra
15
/ 100 (rubric v1.1)AI Inference
Not advertised
4
No
Sales-led
0 / 1
Auth-walled
No
Not published
2026-05-03
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.ai-pricing.json
agents.txt
llms.txt
sitemap.xml
MCP Server Card
Agent Skills
x402 / MPP
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