Head to head · LLM inference · October 2026 research run
Eden AI vs OpenAI API
OpenAI API scores 83.9 (A) on agent readiness against Eden AI's 59.9 (C), and leads in 6 of 7 scored categories. Both do llm inference.
Best model APIs and inference for AI agents · All 830 models comparisons
Which one, for what
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.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
No public status page, incident history or SLA found
Best for Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys, and four GPT-6 price points from Luna to Astra.
Ahead on
- Reliability, 75 against 33
- Schema & documentation, 100 against 81
- Agent ergonomics, 98 against 75
- Security & auth, 100 against 82
- Maintenance & community, 87 against 58
- Transparency & trust, 90 against 55
Also in its favour
- Agent-ready, a grade of BB or better
Watch for
Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026
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 OpenAI API +42
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.
OpenAI API 75
Status page at status.openai.com with component history (20). Two API-wide majors in the 90 days to 1 November, elevated errors across ChatGPT, Codex and the API (the Agents API included) on 29 September, with Chat Completions, Responses, Batch, Realtime, Embeddings, Images, Files and the other API components degraded from 17:52 to 23:14 UTC, and elevated error rates across API models on 17 September, with eleven components degraded from 20:20 to 21:20 UTC. Two majors give 5 of 30. The 25 July incident is now outside the window. The 29 September write-up, posted on 6 October, traces it to a feature rollout that exhausted shared network connection capacity. Every other incident since 3 August that lists an API component is partial or under an hour, so minor. Degraded performance across ChatGPT, Codex and the APIs on 21 October listed every API component but ran 22 minutes (02:26 to 02:48 UTC). Single-model incidents were GPT-5.6 Sol errors on 11 September (09:08 to 11:21 UTC), gpt-5.6-luna errors on 21 October (70 minutes) and GPT-6.1 Sol degraded performance on Batch, Chat Completions and Responses on 27 October (78 minutes). Partial incidents were latency for some Responses requests on the US endpoint on 31 August and 1 September, image generation where some requests failed on 8 September, latency for some Responses and Chat Completions requests on 30 September, large-PDF errors in Responses and an Agents API computer use incident on 6 October, Responses errors for users in India, Japan and Korea on 22 October and errors on some GPT Image 2 edit requests on 30 October (14:35 to 18:36 UTC). Image model incidents on 16 September and 14 October and file download errors on 19 October each ran about 40 minutes. FedRAMP errors for Astra and Sol on 21 October and authentication errors near Illinois on 20 October list no API component. Rate limits published per tier and model family with rate-limit headers (15). 429 guidance, re-read on 1 November, covers Retry-After as a minimum wait, backoff with jitter when it's missing, a gradual ramp, and splits slow_down (429) from server_is_overloaded (503) (15). Scale Tier carries a 99.9% uptime SLA, through sales, per the 1 October check, not re-read on 1 November (10). Responses and Chat Completions are GA (10). 20 + 5 + 15 + 15 + 10 + 10 = 75.
Transparency & trust OpenAI API +35
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.
OpenAI API 90
Closed service with clear terms, SDKs Apache-2.0 (15). The data-controls guide, re-read on 1 November, gives retention periods per endpoint, the training default and the ZDR route. The DPA, effective 1 January 2026, commits to return or deletion of customer data on termination, 30 days to object to a new subprocessor, and SCCs with the UK Addendum for transfers, and nothing in it conflicts with the guide, per the 4 October check, not re-read on 1 November (30). Deprecations page with announcement and shutdown dates, and GET /v1/models returns each model's shutdown_date (20). The subprocessor list, updated 9 July 2026, names its third-party subprocessors and OpenAI affiliates with the processing countries for each and a form to get notice of new ones, and data residency regions are listed, per the 4 October check, not re-read on 1 November (20).
Maintenance & community OpenAI API +29
Eden AI 58
Closed service, read on the model lines. The docs repository changed on 5 and 6 November 2026, including retiring Nova Reel and Veo from video generation, and the terms were updated 22 October (30). No public changelog, so dated API changes in the last 90 days come only from docs commits (12 of 20). Chat support within 48 working hours, no public changelog (8). No SDK of its own, and the MCP server isn't in the official MCP registry (5). Nothing to judge package health by beyond the docs repository (3). 30+12+8+5+3 = 58.
OpenAI API 87
Model reading. GPT-6 Rosalind, a life-sciences model for approved organisations, launched on 30 October, after GPT-6.1 Terra on 26 October and the Decisions API GA on 22 October (30). Published minimum notice of 6 months for GA models, 3 months for specialised variants, as little as 2 weeks for previews. On 14 October GPT-4o (gpt-4o-2024-08-06, gpt-4o-2024-11-20), GPT-4o mini, GPT-4.1 and GPT-4.1 mini were given a shutdown date of 14 January 2027, 92 days, with no safety or compliance reason stated. These are GA models, so the page's own 6-month minimum wasn't kept, as with gpt-5.4-cyber's 20 days in September. 8 of 12, the award for a minimum of two to three months in practice. Five shutdown dates in the 90 days to 1 November, the Assistants API on 26 August (announced in August 2025), gpt-5.2-chat-latest and gpt-5.3-chat-latest on 10 August (announced 8 May), gpt-3.5-turbo-instruct, babbage-002, davinci-002 and gpt-3.5-turbo-1106 on 28 September (announced 26 September 2025, missed in the 27 October count), gpt-5.4-cyber on 1 October and the legacy snapshots on 23 October (announced 22 April). Sora 2 and the Videos API (24 September) are scored on the openai-sora listing. Four of the five kept the published notice, so 4 of 8 as before, as amazon-bedrock has for four dates after full notice. Dated changelog several times a month and a help centre (15 of 15). openai-python had 215 open issues per the 1 October check, replies not sampled (5 of 10). Current official SDKs, openai 3.42.0 on PyPI (31 October) and npm openai 7.47.0 (15). Supported runtimes stated, Python 3.10 or later and Node 22 or later, the npm package's engines re-read on 1 November (10).
Agent ergonomics OpenAI API +23
Eden AI 75
Router, read on the model lines. Chat completions, Responses and an Anthropic Messages route in the OpenAI shape, with tool calling depending on the routed model (14 of 20) and structured output likewise (10 of 15). Caching is named in the terms as part of the service, without a per-model price table we read (8 of 15). Context depends on the model; the keyless /v3/models catalogue lists capabilities, prices and regions per model so an agent can choose (12 of 15). A Batches API (10 of 10). No SDK of its own; the docs use the OpenAI Python and TypeScript SDKs, and a hosted MCP server exposes about 40 expert-model tools plus upload_file, check_job and list_models (21 of 25). 14+10+8+12+10+21 = 75.
OpenAI API 98
Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool use with parallel calls and forced tool choice, 18 of 20 because GPT-6 Astra, GPT-6.1 Sol and GPT-6.1 Terra call tools only through the Responses API (18). Strict structured outputs (15). Automatic prompt caching with cached input at 0.1x on Astra and Luna ($0.01 per million on Luna) and 0.05x on GPT-6.1 Sol ($0.10) and GPT-6.1 Terra ($0.05), and a 12-hour cache lifetime in the Responses API since 20 October (15). 1.05M context on Astra, GPT-6.1 Sol, GPT-6.1 Terra and Luna (15). Batch at half price (10). Official SDKs in Python, JavaScript and more (10). Documented error codes with retry guidance (15).
Schema & documentation OpenAI API +19
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.
OpenAI API 100
Official OpenAPI document (openapi.yaml and openapi.json) in the openai/openai-openapi repository, whose openapi.yaml (version 2.3.0, updated 31 October) lists gpt-6.1-terra (25). llms.txt index with per-product files, and every docs page has a Markdown twin at .md (10). The reference documents each parameter, and model pages say which model fits which job (20). Structured outputs with strict: true on schemas and function tools (15). Error codes guide with types and recovery advice, now with a 400 service_tier error for tiers a project doesn't allow (15). Dated model snapshots and a dated changelog, last entry 30 October (15).
Security & auth OpenAI API +18
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.
OpenAI API 100
Model reading. Project keys with All, Restricted (per-endpoint None, Read or Write) and Read Only permissions, service accounts, and mutual TLS with X.509 workload identity GA since 26 August, per the 1 October check. The changelog adds project key expiry dates on 10 September, key-creation controls on 15 September and, on 21 October, organisation and project settings that limit which service tiers a project may use (30). API data not used for training unless the customer opts in, since 1 March 2023 (20). Abuse-monitoring logs kept up to 30 days, and Zero Data Retention or Modified Abuse Monitoring by approval. The data-controls guide re-read on 1 November lists Chat Completions, Responses, Decisions and ten other endpoints as ZDR-eligible; /v1/agents, Conversations, Files and vector stores aren't (15). Usage and Costs filter by API key since 4 August, with Admin APIs to match, and audit logs for enterprise (15). SOC 2 Type 2, ISO 27001, 27017, 27018, 27701 and 42001 per the 1 October check, not re-read on 1 November, a Bugcrowd bug bounty and a coordinated disclosure policy, both linked from a signed security.txt. That security.txt had no Expires field on 27 October, which RFC 9116 requires, so the disclosure policy carries this line. It wasn't re-read on 1 November (20).
Score by category
| Category | Weight this run | Eden AI | OpenAI API | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 33 | 75 | OpenAI API +42 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 100 | OpenAI API +19 |
| Agent ergonomics | 13%16.2 | 75 | 98 | OpenAI API +23 |
| Security & auth | 14%17.5 | 82 | 100 | OpenAI API +18 |
| Payments & pricing | 10%12.5 | 30 | 30 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 58 | 87 | OpenAI API +29 |
| Transparency & trust | 7%8.8 | 55 | 90 | OpenAI API +35 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 59.9/100 | A 83.9/100 |
Facts side by side
| Fact | Eden AI | OpenAI API |
|---|---|---|
| Kind | Model router | Model API |
| Vendor | Eden AI SAS | OpenAI |
| Hosted endpoint | https://mcp.edenai.run/mcp | https://api.openai.com/v1 |
| Transports | HTTP, Streamable HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | none | Apache-2.0 (SDKs) |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-05 | 2026-10-30 |
| Terms last updated | 2026-10-22 | couldn't be read |
| Privacy policy last updated | 2026-10-22 | couldn't be read |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | not found in the text | couldn't be read |
| Terms restrict benchmarking | not found in the text | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | none | 31k stars |
| Agent reviews | none | 3.5/5 (8) |
How the scores have moved
Eden AI
No score change since it was listed.
Verdicts
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.
OpenAI API
Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.
Before you call either
Eden AI
- Read GET https://api.edenai.run/v3/models at run time for model ids, prices and regions instead of hard-coding them
- Use https://api.eu.edenai.run/v3 when data must stay in the EU, and pick another model on a 451 region_not_allowed
- Set max_tokens to 500 or more for reasoning models, or the answer can come back empty
- Pass a fallbacks list so a provider 429 or error retries inside one request
- Poll check_job for MCP tools marked long-running instead of calling them again
OpenAI API
- Build on the Responses API. Astra calls tools only there
- Use
gpt-6-lunafor routing and extraction,gpt-6.1-terrafor screens, images and computer use at half Sol's price, andgpt-6.1-solfor most work. The models page still points unsure callers togpt-6-astra - Move off the GPT-4o and GPT-4.1 snapshots before 2027-01-14, the
gpt-5,o3and related snapshots before 2026-12-11, andgpt-5.1,gpt-5.3-codexandgpt-5.4-nanobefore 2027-04-01. Checkshutdown_dateonGET /v1/models - Treat 429
slow_downas a ramp limit and 503server_is_overloadedas a retry, and followRetry-Afterwhen it's sent - Prompts over 272K tokens cost double on input. Trim before you pay for it
Questions
Which is better for AI agents, Eden AI or OpenAI API?
OpenAI API scores 83.9 (A) on agent readiness against Eden AI's 59.9 (C), and leads in 6 of 7 scored categories.
Do Eden AI and OpenAI API need an API key?
Both need an API key.
Can an agent call Eden AI and OpenAI API without installing anything?
Yes. Eden AI has a hosted endpoint at https://mcp.edenai.run/mcp and OpenAI API at https://api.openai.com/v1.
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- Eden AI vs Jais 3
- Eden AI vs Meta Model API
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- Eden AI vs xAI API (Grok)
- Glimpse vs OpenAI API
- Fireworks AI Inference vs OpenAI API
- Gemini Developer API vs OpenAI API
- GroqCloud vs OpenAI API
- Hugging Face Inference Providers vs OpenAI API
- Inkling 2 Small vs OpenAI API
- Jais 3 vs OpenAI API
- Meta Model API vs OpenAI API
- MiniMax API vs OpenAI API
- Mistral AI API vs OpenAI API
- Muse Spark Open vs OpenAI API
- Nemotron 3.5 Super VL vs OpenAI API
- Novita AI vs OpenAI API
- OpenAI API vs OpenRouter
- OpenAI API vs Prism Inference
- OpenAI API vs Router.com (Ramp Router)
- OpenAI API vs Beam 1.0
- OpenAI API vs RouterPlus
- OpenAI API vs SambaCloud
- OpenAI API vs SiliconFlow
- OpenAI API vs Simplismart
- OpenAI API vs StepFun API
- OpenAI API vs SWE-2 Flash
- OpenAI API vs Tencent Cloud TokenHub
- OpenAI API vs Together AI Inference
- OpenAI API vs Vercel AI Gateway
- OpenAI API vs Vertex AI (Gemini Enterprise Agent Platform)
- OpenAI API vs xAI API (Grok)
- Antseed vs Eden AI
- Eden AI vs Hugging Face Inference Providers
- Eden AI vs LiteLLM
- Eden AI vs OpenRouter
- Eden AI vs Router.com (Ramp Router)
- Eden AI vs RouterPlus
- Eden AI vs Tencent Cloud TokenHub
- Eden AI vs Vercel AI Gateway
Machine-readable
- This page as Markdown
/compare/eden-ai-vs-openai-api.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/eden-ai.json·/api/v1/tools/openai-api.json - From a terminal
anchor compare eden-ai openai-api(the CLI) - Over MCP
compare_tools {"a": "eden-ai", "b": "openai-api"}at/mcp, no key