Head to head · LLM inference · October 2026 research run
Eden AI vs Inkling 2 Small
Eden AI scores 59.9 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories. Inkling 2 Small leads on maintenance & community and transparency & trust. 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.
Ahead on
- Schema & documentation, 81 against 70
- Agent ergonomics, 75 against 62
- Security & auth, 82 against 57
- Payments & pricing, 30 against 20
Watch for
No public status page, incident history or SLA found
Best for Developers who want a capable multimodal open-family model through an OpenAI-compatible API today, or to fine-tune it on Tinker, and who can live with a beta surface until the weights are published.
Ahead on
- Maintenance & community, 75 against 58
- Transparency & trust, 64 against 55
Watch for
Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput
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 +25
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.
Inkling 2 Small 57
Platform readings are the tinker listing's. Revocable API keys from the console, with no per-key scopes found (20). Org, team and project permissions with no read-only role (5). The model returns its own completions, no third-party content (10). get_audit_log() for admins (15). security.txt with a reporting address and no stated acknowledgement time (7). For the model reading, Tinker's terms commit not to use Customer Content for training, recorded under transparency. 20 + 5 + 10 + 15 + 7 = 57.
Maintenance & community Inkling 2 Small +17
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.
Inkling 2 Small 75
Model reading. Released 5 November 2026 (30). Churn and notice in place of release counts: Inkling, Inkling-Small (30 July) and Inkling 2 Small in about four months, and a deprecations page with dated retirements and a promise to 'aim to give advance notice' by email, with no stated period, per the tinker listing (10 of 20). A public changelog and a support address and Discord, per the tinker listing (10 of 15). Current official SDKs, Tinker's Python SDK and the OpenAI-compatible endpoint (15). SDK and cookbook CI, per the tinker listing (10). 30 + 10 + 10 + 15 + 10 = 75.
Agent ergonomics Eden AI +13
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.
Inkling 2 Small 62
Model reading (tool use, structured output, caching, context, batch, SDKs). A 256K served context, max_tokens and a priced cache at $0.03 per million; tool use isn't documented for this model (15 of 25). Output-size controls through max_tokens, reasoning_effort and separate_reasoning (15 of 20). One documented error, the 400 for unsupported reasoning_effort (5 of 20). Stable request IDs make SDK sampling retries safe, per the tinker listing (15 of 20). OpenAI's SDKs work against the endpoint, with Tinker's Python SDK besides, and reasoning defaults to 0.9 (12 of 15). 15 + 15 + 5 + 15 + 12 = 62.
Schema & documentation Eden AI +11
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.
Inkling 2 Small 70
Model reading. No OpenAPI file of its own; the OpenAI-compatible chat and completions endpoints and the typed Python SDK are the contract, as the tinker listing reads it (15). llms.txt on the docs host, per the tinker listing's 1 October check (10). The model card states intended use (agentic and tool-use systems, coding assistants, chatbots, RAG), inputs, outputs and limitations, and the launch post its benchmarks (16 of 20). Model IDs, context lengths and the reasoning_effort values (none to xhigh, or 0.0 to 0.99) are documented; the tool-call format and structured output aren't, for this model (8 of 15). A Python example and an HTTP 400 for models without reasoning_effort, with no error page (6 of 15). A dated Tinker changelog and a model deprecations page, per the tinker listing (15). 15 + 10 + 16 + 8 + 6 + 15 = 70.
Payments & pricing Eden AI +10
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.
Inkling 2 Small 20
Published rubric. No payment protocol (0). Per-million-token prices for serverless inference and training published without a login on 6 November (20). No free tier listed, and the quickstart asks for payment details before training, per the tinker listing (0). Sign-up is a browser flow (0). 0 + 20 + 0 + 0 = 20.
Transparency & trust Inkling 2 Small +9
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.
Inkling 2 Small 64
Editorial half. Closed for now under the Tinker Terms of Use and the Model Acceptable Use Policy, per the model card, with Apache 2.0 weights promised the week after launch (15). Terms commit not to use Customer Content for training, keep it only as needed, with a DPA and deletion on request; the privacy notice wasn't re-read, per the tinker listing (15). Dated deprecation notices with no stated period (15). The DPA annex names Google Cloud, Cloudflare, WorkOS and OpenAI with service and location (15). 15 + 15 + 15 + 15 = 60.
Score by category
| Category | Weight this run | Eden AI | Inkling 2 Small | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 33 | 30 | Eden AI +3 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 70 | Eden AI +11 |
| Agent ergonomics | 13%16.2 | 75 | 62 | Eden AI +13 |
| Security & auth | 14%17.5 | 82 | 57 | Eden AI +25 |
| Payments & pricing | 10%12.5 | 30 | 20 | Eden AI +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 58 | 75 | Inkling 2 Small +17 |
| Transparency & trust | 7%8.8 | 55 | 64 | Inkling 2 Small +9 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 59.9/100 | D 52.1/100 |
Facts side by side
| Fact | Eden AI | Inkling 2 Small |
|---|---|---|
| Kind | Model router | Model API |
| Vendor | Eden AI SAS | Thinking Machines Lab |
| Hosted endpoint | https://mcp.edenai.run/mcp | https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 |
| Transports | HTTP, Streamable HTTP | |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | none | Proprietary for now, used through Tinker under the Tinker Terms of Use and Thinking Machines' Model Acceptable Use Policy, per the model card. Thinking Machines says it will publish the weights under Apache 2.0 the week after launch, once outside safety testing is done |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-05 | 2026-11-05 |
| Terms last updated | 2026-10-22 | not read yet |
| Privacy policy last updated | 2026-10-22 | not read yet |
| Customer content may train models | not found in the text | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
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.
Inkling 2 Small
A new multimodal mixture-of-experts model from Thinking Machines, callable today through Tinker's OpenAI-compatible endpoint at $0.30 and $1.00 per million tokens, with strong vendor-reported coding and agent scores. Tinker's serverless inference is beta, with no status page or SLA, and the weights aren't public yet.
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
Inkling 2 Small
- Call https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 with an OpenAI client and TINKER_API_KEY, using /chat/completions
- The serverless model ID is thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4, per Tinker's pricing page. The OpenAI page's examples use your own checkpoint paths, so confirm it before relying on it
- Pass reasoning_effort as none to xhigh or 0.0 to 0.99 (default 0.9); reasoning arrives in reasoning_content unless separate_reasoning is false
- Keep images between 40 and 4096 px a side, per the model card
- Validate JSON yourself, since structured output and the tool-call format aren't documented
- Plan for a move to open weights. When they publish, the open-weights listing will carry sizes and runtimes
Questions
Which is better for AI agents, Eden AI or Inkling 2 Small?
Eden AI scores 59.9 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories. Inkling 2 Small leads on maintenance & community and transparency & trust.
Do Eden AI and Inkling 2 Small need an API key?
Both need an API key.
Can an agent call Eden AI and Inkling 2 Small without installing anything?
Yes. Eden AI has a hosted endpoint at https://mcp.edenai.run/mcp and Inkling 2 Small at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1.
Other comparisons with Eden AI or Inkling 2 Small
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- DeepInfra vs Eden AI
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- DeepSeek API vs Eden AI
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- Eden AI vs Gemini Developer API
- Eden AI vs GroqCloud
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- Eden AI vs Meta Model API
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- 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 Inkling 2 Small
- Fireworks AI Inference vs Inkling 2 Small
- Gemini Developer API vs Inkling 2 Small
- GroqCloud vs Inkling 2 Small
- Hugging Face Inference Providers vs Inkling 2 Small
- Inkling 2 Small vs Jais 3
- Inkling 2 Small vs Meta Model API
- Inkling 2 Small vs MiniMax API
- Inkling 2 Small vs Mistral AI API
- Inkling 2 Small vs Muse Spark Open
- Inkling 2 Small vs Nemotron 3.5 Super VL
- Inkling 2 Small vs Novita AI
- Inkling 2 Small vs OpenAI API
- Inkling 2 Small vs OpenRouter
- Inkling 2 Small vs Prism Inference
- Inkling 2 Small vs Router.com (Ramp Router)
- Inkling 2 Small vs Beam 1.0
- Inkling 2 Small vs RouterPlus
- Inkling 2 Small vs SambaCloud
- Inkling 2 Small vs SiliconFlow
- Inkling 2 Small vs Simplismart
- Inkling 2 Small vs StepFun API
- Inkling 2 Small vs SWE-2 Flash
- Inkling 2 Small vs Tencent Cloud TokenHub
- Inkling 2 Small vs Together AI Inference
- Inkling 2 Small vs Vercel AI Gateway
- Inkling 2 Small vs Vertex AI (Gemini Enterprise Agent Platform)
- Inkling 2 Small 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-inkling-2-small.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/eden-ai.json·/api/v1/tools/inkling-2-small.json - From a terminal
anchor compare eden-ai inkling-2-small(the CLI) - Over MCP
compare_tools {"a": "eden-ai", "b": "inkling-2-small"}at/mcp, no key