Head to head · LLM inference · October 2026 research run
Eden AI vs Gemini 4 Hydrogen
Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Eden AI's 61.8 (C), and leads in 5 of 7 scored categories. Eden AI leads on security & auth and payments & pricing. Both do llm inference.
Best model APIs and inference for AI agents · All 1044 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.
Ahead on
- Security & auth, 82 against 50
- Payments & pricing, 45 against 40
Watch for
No public status page, incident history or SLA found
Best for Agents doing everyday coding, tool calls and document work at volume on the Gemini API, including ones that need to start on a free key, or as the executor beside Carbon or Argon.
Ahead on
- Reliability, 45 against 33
- Agent ergonomics, 90 against 75
- Maintenance & community, 85 against 58
- Transparency & trust, 72 against 55
Watch for
temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400
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.
Security & auth Eden AI +32
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.
Gemini 4 Hydrogen 50
Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Hydrogen is on the free tier, where Google's terms say content is used to improve products and may be read by humans; paid-tier content isn't (10 of 20, the platform's reading; Carbon, paid tier only, got 15). Abuse retention has no number and new paid projects store requests by default since 26 October; Google's prompt-injection figure (2.3 times more resilient on Gray Swan's benchmark) is its own, and the model card says jailbreak resistance is still being improved (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 10 + 5 + 15 + 5 = 50.
Maintenance & community Gemini 4 Hydrogen +27
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.
Gemini 4 Hydrogen 85
Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released on 12 November 2026, recorded in Google Cloud's release notes; the Gemini API changelog, last updated 30 October, has no entry for it yet (30). Google Cloud states a minimum of 45 days' notice before Hydrogen is retired, short and stated for Cloud only; the Gemini API's deprecations give earliest dates with no stated minimum (6 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs; the developer guide names the minimum google-genai, @google/genai, Go and Java versions (15). Runtimes stated (10). 30 + 6 + 4 + 15 + 5 + 15 + 10 = 85.
Transparency & trust Gemini 4 Hydrogen +17
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.
Gemini 4 Hydrogen 72
Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Free-tier content is used to improve products, paid-tier content isn't, abuse retention has no number, and request storage is on by default for new paid projects; the statements agree with each other (20 of 30). Deprecations table, and a stated 45-day minimum on Cloud (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). A DeepMind model card gives a March 2026 knowledge cutoff, automated safety results and Frontier Safety Framework outcomes, with the full safety report marked coming soon. Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55.
Agent ergonomics Gemini 4 Hydrogen +15
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.
Gemini 4 Hydrogen 90
Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output to a response_schema, listed as supported on the Cloud model page (13 of 15). Implicit caching on prefixes of 4,096 tokens or more with durable caching on by default and explicit caches not supported, per the Cloud model page; the announcement names no cached-input price (12 of 15). 1,048,576 tokens shared between input and output, with background long decode up to 1M (15). Batch at half price on the platform (10). Python and JavaScript SDKs, and an OpenAI-compatible Chat Completions surface (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 12 + 15 + 10 + 10 + 10 = 90.
Reliability Gemini 4 Hydrogen +12
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.
Gemini 4 Hydrogen 45
Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Google Cloud's release notes and model page call Hydrogen generally available, a short-term release, under the same model ID; the Gemini API pages read don't name a stage, so full marks rest on Cloud's statement (10, a judgement call; Carbon, with no stage stated anywhere, got 5). 10 + 5 + 5 + 15 + 0 + 10 = 45.
Payments & pricing Eden AI +5
Eden AI 45
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. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 30 is 45.
Gemini 4 Hydrogen 40
Model reading for gemini-4-hydrogen on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). Prices published in Google's announcement without a login, $1.50 input and $7.50 output per million tokens, flat across the window; the Gemini API pricing page, now at aistudio.google.com, is still to be read for Hydrogen's row (20). A free tier with no card: Google's announcement puts Hydrogen on all tiers of the Gemini API, and the free tier needs no billing account per the gemini-api listing; its limits for Hydrogen are on that pricing page (20). A Google account and AI Studio for a key (0). 0 + 20 + 20 + 0 = 40.
Score by category
| Category | Weight this run | Eden AI | Gemini 4 Hydrogen | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 33 | 45 | Gemini 4 Hydrogen +12 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 85 | Gemini 4 Hydrogen +4 |
| Agent ergonomics | 13%16.2 | 75 | 90 | Gemini 4 Hydrogen +15 |
| Security & auth | 14%17.5 | 82 | 50 | Eden AI +32 |
| Payments & pricing | 10%12.5 | 45 | 40 | Eden AI +5 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 58 | 85 | Gemini 4 Hydrogen +27 |
| Transparency & trust | 7%8.8 | 55 | 72 | Gemini 4 Hydrogen +17 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61.8/100 | B 64.9/100 |
Facts side by side
| Fact | Eden AI | Gemini 4 Hydrogen |
|---|---|---|
| Kind | Model router | Model API |
| Vendor | Eden AI SAS | |
| Hosted endpoint | https://mcp.edenai.run/mcp | https://generativelanguage.googleapis.com/v1beta |
| Transports | HTTP, Streamable HTTP | |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | none | Closed model, used through the Gemini API and Google's apps under Google's terms |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-05 | 2026-11-12 |
| Terms last updated | 2026-10-22 | 2026-04-28 |
| Privacy policy last updated | 2026-10-22 | 2026-10-01 |
| Customer content may train models | not found in the text | yes |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
How the scores have moved
Gemini 4 Hydrogen
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.
Gemini 4 Hydrogen
Google's fast Gemini 4 model, on every tier of the Gemini API including the free one, at $1.50 and $7.50 per million tokens with a 1M-token budget, four thinking levels, function calling and structured output. Sampling parameters are ignored, explicit caching isn't supported, it's a short-term release with 45 days' notice on Cloud, and the benchmarks are Google's.
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
Gemini 4 Hydrogen
- Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-hydrogen and an x-goog-api-key
- Set thinking_level instead of thinking_budget; the default is HIGH, so set MEDIUM to keep 3.8 Flash's latency
- Don't send temperature, top_p, top_k, penalties or candidate_count above 1
- Pass every thought_signature back in its original part, on the first parallel functionCall only, or the call returns a 400
- Put static content of 4,096 tokens or more first so implicit caching applies, and keep confidential prompts off the free tier
Questions
Which is better for AI agents, Eden AI or Gemini 4 Hydrogen?
Gemini 4 Hydrogen scores 64.9 (B) on agent readiness against Eden AI's 61.8 (C), and leads in 5 of 7 scored categories. Eden AI leads on security & auth and payments & pricing.
Do Eden AI and Gemini 4 Hydrogen need an API key?
Both need an API key.
Can an agent call Eden AI and Gemini 4 Hydrogen without installing anything?
Yes. Eden AI has a hosted endpoint at https://mcp.edenai.run/mcp and Gemini 4 Hydrogen at https://generativelanguage.googleapis.com/v1beta.
Other comparisons with Eden AI or Gemini 4 Hydrogen
- Amazon Bedrock vs Eden AI
- Amazon Bedrock vs Gemini 4 Hydrogen
- Claude API vs Eden AI
- Claude API vs Gemini 4 Hydrogen
- Antseed vs Gemini 4 Hydrogen
- Azure OpenAI in Foundry Models vs Eden AI
- Azure OpenAI in Foundry Models vs Gemini 4 Hydrogen
- BlockRun.AI vs Eden AI
- BlockRun.AI vs Gemini 4 Hydrogen
- Cerebras Inference vs Eden AI
- Cerebras Inference vs Gemini 4 Hydrogen
- Claude Fable 5.2 vs Eden AI
- Claude Fable 5.2 vs Gemini 4 Hydrogen
- Claude Mythos 5.2 vs Eden AI
- Claude Mythos 5.2 vs Gemini 4 Hydrogen
- Cloudflare AI Gateway vs Eden AI
- Cloudflare AI Gateway vs Gemini 4 Hydrogen
- Cloudflare Workers AI vs Eden AI
- Cloudflare Workers AI vs Gemini 4 Hydrogen
- Cohere Chat API (Command models) vs Eden AI
- Cohere Chat API (Command models) vs Gemini 4 Hydrogen
- DeepInfra vs Eden AI
- DeepInfra vs Gemini 4 Hydrogen
- DeepSeek API vs Eden AI
- DeepSeek API vs Gemini 4 Hydrogen
- Eden AI vs Glimpse
- Eden AI vs Fireworks AI Inference
- Eden AI vs Gemini 4 Carbon
- Eden AI vs Gemini Developer API
- Eden AI vs GroqCloud
- Eden AI vs Tencent Hy4
- Eden AI vs Jais 3
- Eden AI vs Meta Model API
- Eden AI vs MiniMax API
- Eden AI vs Mistral AI API
- Eden AI vs Muse Ember
- Eden AI vs Muse Spark Open
- Eden AI vs Nemotron 3.5 Super VL
- Eden AI vs Novita AI
- Eden AI vs OpenAI API
- Eden AI vs Prism Inference
- Eden AI vs Beam 1.0
- Eden AI vs SambaCloud
- Eden AI vs SiliconFlow
- Eden AI vs Simplismart
- Eden AI vs StepFun API
- Eden AI vs SWE-2 Flash
- Eden AI vs Together AI Inference
- Eden AI vs Vertex AI (Gemini Enterprise Agent Platform)
- Eden AI vs xAI API (Grok)
- Glimpse vs Gemini 4 Hydrogen
- Fireworks AI Inference vs Gemini 4 Hydrogen
- Gemini 4 Carbon vs Gemini 4 Hydrogen
- Gemini 4 Hydrogen vs Gemini Developer API
- Gemini 4 Hydrogen vs GroqCloud
- Gemini 4 Hydrogen vs Hugging Face Inference Providers
- Gemini 4 Hydrogen vs Tencent Hy4
- Gemini 4 Hydrogen vs Jais 3
- Gemini 4 Hydrogen vs Meta Model API
- Gemini 4 Hydrogen vs MiniMax API
- Gemini 4 Hydrogen vs Mistral AI API
- Gemini 4 Hydrogen vs Muse Ember
- Gemini 4 Hydrogen vs Muse Spark Open
- Gemini 4 Hydrogen vs Nemotron 3.5 Super VL
- Gemini 4 Hydrogen vs Novita AI
- Gemini 4 Hydrogen vs OpenAI API
- Gemini 4 Hydrogen vs OpenRouter
- Gemini 4 Hydrogen vs Prism Inference
- Gemini 4 Hydrogen vs Router.com (Ramp Router)
- Gemini 4 Hydrogen vs Beam 1.0
- Gemini 4 Hydrogen vs RouterPlus
- Gemini 4 Hydrogen vs SambaCloud
- Gemini 4 Hydrogen vs SiliconFlow
- Gemini 4 Hydrogen vs Simplismart
- Gemini 4 Hydrogen vs StepFun API
- Gemini 4 Hydrogen vs SWE-2 Flash
- Gemini 4 Hydrogen vs Tencent Cloud TokenHub
- Gemini 4 Hydrogen vs Together AI Inference
- Gemini 4 Hydrogen vs Vercel AI Gateway
- Gemini 4 Hydrogen vs Vertex AI (Gemini Enterprise Agent Platform)
- Gemini 4 Hydrogen 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-gemini-4-hydrogen.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/eden-ai.json·/api/v1/tools/gemini-4-hydrogen.json - From a terminal
anchor compare eden-ai gemini-4-hydrogen(the CLI) - Over MCP
compare_tools {"a": "eden-ai", "b": "gemini-4-hydrogen"}at/mcp, no key