Head to head · LLM inference · October 2026 research run

DeepInfra vs Eden AI

DeepInfra scores 63.7 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 4 of 7 scored categories. Eden AI leads on schema & documentation, security & auth and payments & pricing. Both do llm inference.

Best model APIs and inference for AI agents · All 830 models comparisons

Which one, for what

DeepInfra B

Best for Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.

Ahead on

  • Reliability, 75 against 33
  • Transparency & trust, 68 against 55

Watch for

A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id. Eight models were redirected or scheduled between 8 October and 3 November 2026

Eden AI C

Best for Teams that want one key and bill for many LLMs plus OCR, speech, translation and web tools, with EU-only processing.

Ahead on

  • Schema & documentation, 81 against 69
  • Security & auth, 82 against 64
  • Payments & pricing, 30 against 20

Watch for

No public status page, incident history or SLA found

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Reliability DeepInfra +42

DeepInfra 75

Hosted reading. Own status page at status.deepinfra.com with 90-day day-by-day history for the API, the website and 168 monitored models (20). On 2 November 2026 the API component shows 100 per cent over 86.7 measured days and the website 99.99 per cent, with one 8-minute degradation on 19 August 2026. The Atom feed's 50 newest items, 20 August to 30 October 2026, are all automated major-outage observations on single models, "not an announced incident", among them MiMo-V2.5 from 27 August to 4 September, Qwen3-TTS for 37 and 32 hours, Nemotron-3-Ultra for 25 hours and a run of short Nemotron-3.5-Lightning outages in early September. No written incident touched the API. Each observation is one model, partial under this run's rule, as together-inference's single-model monitor downtime was read, so minor only (20). The 8 October reading of 15 sat between checklist values. 200 concurrent requests per model, published (15). 429 with Rate limited or engine_overloaded, advice to retry after a short delay, fail_fast and a models fallback list. No Retry-After header or backoff figures were found (10 of 15). No SLA found. The terms (last modified 15 October 2026) promise commercially reasonable efforts for infrastructure only (0). Generally available (10). 20 + 20 + 15 + 10 + 0 + 10 = 75.

Eden AI 33

Router, read on the hosted lines. No status page is linked from the site or docs, and status.edenai.co didn't resolve for us on 6 November 2026 (0). No incident history to read (5). The rate-limits page gives 10 requests a second per account, shared across keys, while the plans page gives 7 a second, raisable to 15, so the figure is documented but inconsistent (10). Fallback retries the next model or provider on a 429 or error inside one request, but no client-facing 429 or Retry-After guidance was found (8). No SLA published; 'Dedicated support & SLA' is listed only for the custom Advanced plan, and the pricing page's '99.99%' uptime is a claim without a status page behind it (0). The v3 API is GA (10). 0+5+10+8+0+10 = 33.

Security & auth Eden AI +18

DeepInfra 64

Model reading. Named Bearer keys that can be deleted by id, with an allowed_ips field and a monthly spending limit per key, plus scoped JWTs limited by model, expiry and spend (26 of 30). Less 10 because GET /v1/scoped-jwt?jwtoken= is still the documented way to inspect a JWT and puts a live token in the query string. The two deprecated routes that carried the API token in the URL path are no longer in the OpenAPI document (16 of 30). The terms say Customer Data is not used to train, fine-tune or improve any model. The docs say data sent to Google or Anthropic models falls under those companies' policies (17 of 20). The terms define Zero Data Retention with three exceptions, and the docs say inputs stay in memory, image outputs are kept a short time and batch data is stored encrypted until shortly after completion (13 of 15). Usage per key, request costs and deployment logs are in the API. No account audit log was found (8 of 15). The trust centre at trust.deepinfra.com now loads and lists SOC 2, ISO 27001 and HIPAA as compliant, with reports and policies on request, and the privacy policy says the same. No security.txt, disclosure policy or bug bounty was found (10 of 20, as other listings with certification claims and no disclosure route).

Eden AI 82

Router, read on the model lines. Bearer keys with per-key budgets, expiry and attribution, a key management API, and deny-by-default guardrails that limit models per member, role or key (25). The data retention page says request and response content isn't stored and data isn't used to train models by default (18). Content logging is opt-in, async results are deleted after 7 days, and an organisation can enforce Zero Data Retention and region rules; the EU endpoint refuses non-EU models with 451 (13). Cost and provider per response, and a monitoring dashboard by key (12). The security page says Eden AI is SOC 2 and ISO 27001 certified and links a trust centre; /.well-known/security.txt returns 404 and no disclosure policy was found (14). 25+18+13+12+14 = 82.

Transparency & trust DeepInfra +13

DeepInfra 68

Closed service with terms that name the entity and California law, and an MIT licence on the SDKs and docs (15). The terms (last modified 15 October 2026), the privacy policy and the data privacy page agree on no storage and no training, the terms say their retention clause controls, and personal information is removed 30 days after account deletion. The terms now point to a DPA on the trust centre, which lists it among documents available on request, and the entity is written Deep Infra Inc. in the terms and DeepInfra, Inc. in the privacy policy (21 of 30). A written one-week deprecation policy and a dated list of scheduled deprecations on the status page. No record of past removals was found (14 of 20). The sub-processor list names Stripe, Amazon Web Services and Google Cloud Platform, as does the trust centre. It omits Google and Anthropic as model endpoints, and the privacy policy names the United States as the processing location (10 of 20).

Eden AI 55

Editorial half only. Closed service under terms last updated 22 October 2026, naming Eden AI SAS and French law with courts in Lyon (15). The data retention page, terms and DPA agree that content isn't stored by default, and the docs carry a per-provider table of training, retention and ZDR (27). No deprecation policy found; models are dropped in docs updates without dated notice that we found (5). The DPA's Annex 2 names operational subprocessors (AWS EMEA, ClickHouse, Sentry, Metabase, Stripe, Brevo and others) with their roles, and the EU endpoint keeps routing in the EU (18). 15+27+5+18 = 65.

Schema & documentation Eden AI +12

DeepInfra 69

Model reading. Public OpenAPI 3.1.0 document at api.deepinfra.com/openapi.json with 131 paths, 157 operations and 257 schemas on 2 November 2026. llms.txt now links that document, though the docs host's own copy still returns Mintlify's sample plant store document, and the spec lists chat at /v1/chat/completions while every docs example uses /v1/openai/chat/completions (22 of 25). llms.txt with 224 links and a Markdown copy of every docs page (10). Guide pages for tool calling, structured output, caching, batch and service tiers say when to use each. Many reference operations have a name and no description (14 of 20). Typed parameters with 49 enums, 31 chat properties and two required (11 of 15). Curl, Python and JavaScript examples on each page. No error reference was found, the spec gives chat only 200 and 422 responses, and the 429 body is shown in prose (8 of 15). No changelog was found. The spec version reads 1.0.0, and the docs repository on GitHub has a public commit history (4 of 15).

Eden AI 81

Router, scored on the API lines. OpenAPI 3.1 document for v3 (version 3.0.0, 46 paths) at api.edenai.run/v3/docs/openapi.json, plus a management API spec (25). llms.txt on the site and in the docs, llms-full.txt and Markdown pages (10). llms.txt states when to use Eden AI and when not to, and the docs separate chat models from expert models (17). Requests follow the OpenAI shape, and expert-model tools on the MCP server carry JSON Schema inputs (12). Examples throughout, but the spec documents only 200, 201, 202, 302 and 422, while llms.txt names 401 and 451 for region refusals (10). Versioned /v3 path, but no public changelog was found (7). 25+10+17+12+10+7 = 81.

Payments & pricing Eden AI +10

DeepInfra 20

No machine payment protocol (0). Per-token, per-image, per-minute and per-GPU-hour prices on the pricing page and in /v1/openai/models, both read without a login, such as DeepSeek-V4-Flash-0731 at $0.06 in and $0.18 out per 1M tokens (20). No free tier. The pricing page says an account must add a card or prepay (0). A person signs up in a browser, and the key API needs an existing key (0).

Eden AI 30

No x402, MPP or L402 (0). Provider prices with no markup plus a 5.5% platform fee, published per model in the keyless catalogue (20). llms.txt says some models are billed $0 for tests, but whether a new account can call them without buying credits isn't stated (10). A person signs up in a browser and buys credits through Stripe (0). 0+20+10+0 = 30.

Score by category

CategoryWeight this runDeepInfraEden AIEdge
Reliability16%207533DeepInfra +42
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26981Eden AI +12
Agent ergonomics13%16.27775DeepInfra +2
Security & auth14%17.56482Eden AI +18
Payments & pricing10%12.52030Eden AI +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86158DeepInfra +3
Transparency & trust7%8.86855DeepInfra +13
Negative events≤1500
TotalB 63.7/100C 59.9/100

Facts side by side

FactDeepInfraEden AI
KindModel APIModel router
VendorDeep Infra Inc.Eden AI SAS
Hosted endpointhttps://api.deepinfra.com/v1/openaihttps://mcp.edenai.run/mcp
TransportsHTTPHTTP, Streamable HTTP
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceProprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MITnone
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-262026-11-05
Terms last updated2026-08-172026-10-22
Privacy policy last updated2026-08-152026-10-22
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waiveryesnot found in the text
Popularity21 stars, 1.2k npm/wk, 50 PyPI/wknone
Agent reviews3.5/5 (4)none

How the scores have moved

Verdicts

DeepInfra

The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model (five in October, three more due by 3 November), and there is no changelog or SLA.

Eden AI

Eden AI gives one OpenAI-compatible key to about 1,000 models and expert models such as OCR, speech and translation, with an EU-only endpoint, per-key guardrails and no stored content by default. No status page, SLA or changelog was found, and its own pages disagree on the default rate limit.

Before you call either

DeepInfra

  1. Call GET https://api.deepinfra.com/v1/openai/models at start-up for ids, context sizes and prices. No key is needed
  2. Check the model field of each response. After a deprecation date, requests to the old id are served by a replacement model
  3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
  4. Stay under 200 concurrent requests per model. On 429 engine_overloaded, retry after a delay, or send models with up to four fallbacks
  5. Never inspect a JWT with GET /v1/scoped-jwt?jwtoken=, which puts the token in the URL. Keep credentials in the Authorization header

Eden AI

  1. Read GET https://api.edenai.run/v3/models at run time for model ids, prices and regions instead of hard-coding them
  2. Use https://api.eu.edenai.run/v3 when data must stay in the EU, and pick another model on a 451 region_not_allowed
  3. Set max_tokens to 500 or more for reasoning models, or the answer can come back empty
  4. Pass a fallbacks list so a provider 429 or error retries inside one request
  5. Poll check_job for MCP tools marked long-running instead of calling them again

Questions

Which is better for AI agents, DeepInfra or Eden AI?

DeepInfra scores 63.7 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 4 of 7 scored categories. Eden AI leads on schema & documentation, security & auth and payments & pricing.

Do DeepInfra and Eden AI need an API key?

Both need an API key.

Can an agent call DeepInfra and Eden AI without installing anything?

Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Eden AI at https://mcp.edenai.run/mcp.

Other comparisons with DeepInfra or Eden AI

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