What GitLab AI Gateway is (and isn\u2019t)<\/h2>\n\n\n\n![\"gitlab](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/gitlabgateway-1024x519.jpg\")
<\/figure>\n\n\n\nWhat it is.<\/strong> A governance-first layer focused on routing AI traffic with policies, key management, and observability\u2014so application teams can control LLM usage with the same discipline they bring to any production API.<\/p>\n\n\n\nWhat it isn\u2019t.<\/strong> A neutral marketplace that helps you choose<\/em> providers\/models based on real-time price, latency, uptime, and availability<\/strong> or automatically fail over<\/strong> across multiple providers. Gateways standardize control; aggregators<\/strong> optimize choice and resilience.<\/p>\n\n\n\nAggregators vs Gateways vs Agent platforms (quick primer)<\/h2>\n\n\n\n\n- LLM aggregators.<\/strong> One API across many models\/providers with pre-route transparency<\/strong> (price, latency, uptime, availability, provider type), plus smart routing\/failover<\/strong>.<\/li>\n\n\n\n
- AI gateways.<\/strong> Policy\/governance at the edge<\/strong> (credentials, rate limits, guardrails), plus observability<\/strong>. You bring your providers.<\/em> GitLab AI Gateway lives here.<\/li>\n\n\n\n
- Agent\/chatbot platforms.<\/strong> Packaged UX, memory\/tools, channels\u2014great for end-user assistants, not provider-agnostic routing.<\/li>\n<\/ul>\n\n\n\n
How we evaluated the best GitLab AI Gateway alternatives<\/h2>\n\n\n\n\n- Model breadth & neutrality.<\/strong> Proprietary + open; switch providers with no rewrites.<\/li>\n\n\n\n
- Latency & resilience.<\/strong> Routing policies, timeouts, retries, instant failover<\/strong>.<\/li>\n\n\n\n
- Governance & security.<\/strong> Key handling, scopes, regional routing, guardrails.<\/li>\n\n\n\n
- Observability.<\/strong> Logs\/traces and cost\/latency dashboards.<\/li>\n\n\n\n
- Pricing transparency & TCO.<\/strong> Compare real<\/strong> costs before you route.<\/li>\n\n\n\n
- Developer experience.<\/strong> Docs, SDKs, quickstarts; time-to-first-token<\/strong>.<\/li>\n\n\n\n
- Community & economics.<\/strong> Whether your spend grows supply (incentives for GPU owners; fair revenue share).<\/li>\n<\/ul>\n\n\n\n
Top 10 GitLab AI Gateway alternatives<\/h2>\n\n\n\n#1 \u2014 ShareAI (People-Powered AI API)<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/shareai-1024x547.jpg\")
<\/figure>\n\n\n\nWhat it is.<\/strong> A multi-provider API<\/strong> with a transparent marketplace<\/strong> and smart routing<\/strong>. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, provider type<\/strong>, and route with instant failover<\/strong>. Economics are people-powered: 70% of every dollar flows to providers<\/strong> (community or company) who keep models online.<\/p>\n\n\n\nWhy it\u2019s #1 here.<\/strong> If you want provider-agnostic aggregation<\/strong> with pre-route transparency<\/strong> and resilience<\/strong>, ShareAI is the most direct fit. Keep a gateway if you need org-wide policies; add ShareAI for marketplace-guided routing<\/strong> and \u201calways-on\u201d availability<\/strong> across providers.<\/p>\n\n\n\n\n- One API \u2192 150+ models<\/strong> across many providers; no rewrites, no lock-in.<\/li>\n\n\n\n
- Transparent marketplace:<\/strong> choose by price, latency, uptime, availability, provider type<\/strong>.<\/li>\n\n\n\n
- Resilience by default:<\/strong> routing policies + instant failover<\/strong>.<\/li>\n\n\n\n
- Fair economics:<\/strong> 70% of spend goes to providers<\/strong>, returning value to the community.<\/li>\n<\/ul>\n\n\n\n
Quick links<\/strong> \u2014 Browse Models<\/a> \u00b7 Open Playground<\/a> \u00b7 Create API Key<\/a> \u00b7 API Reference<\/a> \u00b7 User Guide<\/a> \u00b7 Releases<\/a><\/p>\n\n\n\nFor providers: earn by keeping models online<\/strong>
Anyone can become a ShareAI provider\u2014Community<\/strong> or Company<\/strong>. Onboard via Windows<\/strong>, Ubuntu<\/strong>, macOS<\/strong>, or Docker<\/strong>. Contribute idle-time bursts<\/strong> or run always-on<\/strong>. Choose your incentive: Rewards<\/strong> (money), Exchange<\/strong> (tokens \/ AI Prosumer), or Mission<\/strong> (donate a % to NGOs). As you scale, set your own inference prices<\/strong> and gain preferential exposure<\/strong>. Provider Guide<\/a> \u00b7 Sign in \/ Sign up<\/a><\/p>\n\n\n\n#2 \u2014 Kong AI Gateway<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/gongai-gateway-1024x544.jpg\")
<\/figure>\n\n\n\nEnterprise AI\/LLM gateway\u2014strong policies\/plugins, analytics, and observability for AI traffic. It\u2019s a control plane<\/strong> rather than a marketplace.<\/p>\n\n\n\n#3 \u2014 Portkey<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/portkey-1024x524.jpg\")
<\/figure>\n\n\n\nAI gateway emphasizing observability<\/strong>, guardrails<\/strong>, and governance<\/strong>\u2014popular where compliance is strict.<\/p>\n\n\n\n#4 \u2014 OpenRouter<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/openrouter-1024x527.png\")
<\/figure>\n\n\n\nUnified API over many models; excellent for fast experimentation<\/strong> across a wide catalog.<\/p>\n\n\n\n#5 \u2014 Eden AI<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/edenai-1024x473.jpg\")
<\/figure>\n\n\n\nAggregates LLMs plus<\/strong> broader AI (vision, translation, TTS), with fallbacks\/caching and batching.<\/p>\n\n\n\n#6 \u2014 LiteLLM<\/h3>\n\n\n\n![\"litellm](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/litellm-1024x542.jpg\")
<\/figure>\n\n\n\nLightweight SDK + self-hostable proxy<\/strong> exposing an OpenAI-compatible interface to many providers.<\/p>\n\n\n\n#7 \u2014 Unify<\/h3>\n\n\n\n![\"unify](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/unify-1024x544.jpg\")
<\/figure>\n\n\n\nQuality-oriented routing and evaluation to pick better models per prompt<\/strong>.<\/p>\n\n\n\n#8 \u2014 Orq AI<\/h3>\n\n\n\n![\"org](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/orgai-1024x549.png\")
<\/figure>\n\n\n\nOrchestration\/collaboration platform to move experiments \u2192 production<\/strong> with low-code flows.<\/p>\n\n\n\n#9 \u2014 Apigee (with LLMs behind it)<\/h3>\n\n\n\n![\"apigee](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/Apigee-1024x511.jpg\")
<\/figure>\n\n\n\nMature API management\/gateway you can place in front of LLM providers to apply policies, keys, and quotas<\/strong>.<\/p>\n\n\n\n#10 \u2014 NGINX<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/ngnix-1024x521.png\")
<\/figure>\n\n\n\nDIY path: build custom routing, token enforcement, and caching for LLM backends if you prefer tight control.<\/p>\n\n\n\n
\nGitLab AI Gateway vs ShareAI (tl;dr):<\/strong>
Need one API over many providers<\/strong> with marketplace transparency and instant failover? Choose ShareAI.<\/strong>
Need egress governance\u2014centralized credentials, policy, observability<\/strong>\u2014and you already picked your providers? GitLab AI Gateway<\/strong> fits that lane. Many teams pair them: gateway for org policy + ShareAI for marketplace-guided routing<\/strong>.<\/p>\n<\/blockquote>\n\n\n\nQuick comparison (at a glance)<\/h2>\n\n\n\nPlatform<\/th> Who it serves<\/th> Model breadth<\/th> Governance & security<\/th> Observability<\/th> Routing \/ failover<\/th> Marketplace transparency<\/th> Provider program<\/th><\/tr><\/thead> ShareAI<\/strong><\/td>Product\/platform teams needing one API + fair economics<\/td> 150+ models<\/strong>, many providers<\/td>API keys & per-route controls<\/td> Console usage + marketplace stats<\/td> Smart routing + instant failover<\/strong><\/td>Yes<\/strong> (price, latency, uptime, availability, provider type)<\/td>Yes<\/strong> \u2014 open supply; 70% to providers<\/strong><\/td><\/tr>GitLab AI Gateway<\/strong><\/td>Teams wanting egress governance<\/strong><\/td>BYO providers<\/td> Centralized credentials\/policies<\/td> Metrics\/tracing<\/td> Conditional routing via policies<\/td> No<\/strong> (infra tool, not a marketplace)<\/td>n\/a<\/td><\/tr> Kong AI Gateway<\/strong><\/td>Enterprises needing gateway-level policy<\/td> BYO<\/td> Strong edge policies\/plugins<\/td> Analytics<\/td> Proxy\/plugins, retries<\/td> No<\/td> n\/a<\/td><\/tr> Portkey<\/strong><\/td>Regulated\/enterprise teams<\/td> Broad<\/td> Guardrails & governance<\/td> Deep traces<\/td> Conditional routing<\/td> Partial<\/td> n\/a<\/td><\/tr> OpenRouter<\/strong><\/td>Devs wanting one key to many models<\/td> Wide catalog<\/td> Basic API controls<\/td> App-side<\/td> Fallbacks<\/td> Partial<\/td> n\/a<\/td><\/tr> Eden AI<\/strong><\/td>LLM + other AI services<\/td> Broad<\/td> Standard controls<\/td> Varies<\/td> Fallbacks\/caching<\/td> Partial<\/td> n\/a<\/td><\/tr> LiteLLM<\/strong><\/td>DIY\/self-host proxy<\/td> Many providers<\/td> Config\/key limits<\/td> Your infra<\/td> Retries\/fallback<\/td> n\/a<\/td> n\/a<\/td><\/tr> Unify<\/strong><\/td>Quality-driven teams<\/td> Multi-model<\/td> Standard API security<\/td> Platform analytics<\/td> Best-model selection<\/td> n\/a<\/td> n\/a<\/td><\/tr> Orq<\/strong><\/td>Orchestration-first teams<\/td> Wide support<\/td> Platform controls<\/td> Platform analytics<\/td> Orchestration flows<\/td> n\/a<\/td> n\/a<\/td><\/tr> Apigee \/ NGINX<\/strong><\/td>Enterprises \/ DIY<\/td> BYO<\/td> Policies<\/td> Add-ons \/ custom<\/td> Custom<\/td> n\/a<\/td> n\/a<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\nPricing & TCO: compare real<\/em> costs (not just unit prices)<\/h2>\n\n\n\nRaw $\/1K tokens<\/strong> hides the real picture. TCO shifts with retries\/fallbacks<\/strong>, latency<\/strong> (which affects usage), provider variance<\/strong>, observability storage<\/strong>, and evaluation runs<\/strong>. A transparent marketplace helps you choose routes<\/strong> that balance cost and UX.<\/p>\n\n\n\nTCO \u2248 \u03a3 (Base_tokens \u00d7 Unit_price \u00d7 (1 + Retry_rate))\n + Observability_storage\n + Evaluation_tokens\n + Egress\n<\/code><\/pre>\n\n\n\n\n- Prototype (~10k tokens\/day):<\/strong> Optimize for time-to-first-token<\/strong> (Playground, quickstarts).<\/li>\n\n\n\n
- Mid-scale (~2M tokens\/day):<\/strong> Marketplace-guided routing\/failover can trim 10\u201320%<\/strong> while improving UX<\/strong>.<\/li>\n\n\n\n
- Spiky workloads:<\/strong> Expect higher effective token costs from retries during failover\u2014budget for it<\/strong>.<\/li>\n<\/ul>\n\n\n\n
Migration playbooks: moving to ShareAI<\/h2>\n\n\n\nFrom GitLab AI Gateway<\/h3>\n\n\n\n
Keep gateway-level policies where they shine. Add ShareAI<\/strong> for marketplace routing + instant failover. Pattern: gateway auth\/policy<\/strong> \u2192 ShareAI route per model<\/strong> \u2192 measure marketplace stats<\/strong> \u2192 tighten policies.<\/p>\n\n\n\nFrom OpenRouter<\/h3>\n\n\n\n
Map model names, verify prompt parity, then shadow 10%<\/strong> of traffic and ramp 25% \u2192 50% \u2192 100%<\/strong> as latency\/error budgets hold. Marketplace data makes provider swaps<\/strong> straightforward.<\/p>\n\n\n\nFrom LiteLLM<\/h3>\n\n\n\n
Replace the self-hosted proxy on production<\/strong> routes you don\u2019t want to operate; keep LiteLLM for dev<\/strong> if desired. Compare ops overhead<\/strong> vs. managed routing benefits.<\/p>\n\n\n\nFrom Unify \/ Portkey \/ Orq \/ Kong<\/h3>\n\n\n\n
Define feature-parity<\/strong> expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they\u2019re strongest; use ShareAI<\/strong> for transparent provider choice<\/strong> and failover<\/strong>.<\/p>\n\n\n\nDeveloper quickstart (copy-paste)<\/h2>\n\n\n\n
The following use an OpenAI-compatible<\/strong> surface. Replace YOUR_KEY<\/code> with your ShareAI key\u2014get one at Create API Key<\/a>.<\/p>\n\n\n\n#!\/usr\/bin\/env bash\n# cURL \u2014 Chat Completions\n# Prereqs:\n# export SHAREAI_API_KEY=\"YOUR_KEY\"\n\ncurl -X POST \"https:\/\/api.shareai.now\/v1\/chat\/completions\" \\\n -H \"Authorization: Bearer $SHAREAI_API_KEY\" \\\n -H \"Content-Type: application\/json\" \\\n -d '{\n \"model\": \"llama-3.1-70b\",\n \"messages\": [\n { \"role\": \"user\", \"content\": \"Give me a short haiku about reliable routing.\" }\n ],\n \"temperature\": 0.4,\n \"max_tokens\": 128\n }'\n<\/code><\/pre>\n\n\n\n\/\/ JavaScript (Node 18+\/Edge runtimes) \u2014 Chat Completions\n\/\/ Prereqs:\n\/\/ process.env.SHAREAI_API_KEY = \"YOUR_KEY\"\n\nasync function main() {\n const res = await fetch(\"https:\/\/api.shareai.now\/v1\/chat\/completions\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${process.env.SHAREAI_API_KEY}`,\n \"Content-Type\": \"application\/json\"\n },\n body: JSON.stringify({\n model: \"llama-3.1-70b\",\n messages: [\n { role: \"user\", content: \"Give me a short haiku about reliable routing.\" }\n ],\n temperature: 0.4,\n max_tokens: 128\n })\n });\n\n if (!res.ok) {\n console.error(\"Request failed:\", res.status, await res.text());\n return;\n }\n\n const data = await res.json();\n console.log(JSON.stringify(data, null, 2));\n}\n\nmain().catch(console.error);\n<\/code><\/pre>\n\n\n\nNext steps:<\/strong> Open Playground<\/a> \u00b7 Create API Key<\/a> \u00b7 API Reference<\/a><\/p>\n\n\n\nSecurity, privacy & compliance checklist (vendor-agnostic)<\/h2>\n\n\n\n\n- Key handling:<\/strong> rotation cadence; minimal scopes; environment separation.<\/li>\n\n\n\n
- Data retention:<\/strong> where prompts\/responses are stored, for how long; redaction defaults.<\/li>\n\n\n\n
<\/figure>\n\n\n\nWhat it is.<\/strong> A governance-first layer focused on routing AI traffic with policies, key management, and observability\u2014so application teams can control LLM usage with the same discipline they bring to any production API.<\/p>\n\n\n\n What it isn\u2019t.<\/strong> A neutral marketplace that helps you choose<\/em> providers\/models based on real-time price, latency, uptime, and availability<\/strong> or automatically fail over<\/strong> across multiple providers. Gateways standardize control; aggregators<\/strong> optimize choice and resilience.<\/p>\n\n\n\n What it is.<\/strong> A multi-provider API<\/strong> with a transparent marketplace<\/strong> and smart routing<\/strong>. With one integration, browse a large catalog of models and providers, compare price, latency, uptime, availability, provider type<\/strong>, and route with instant failover<\/strong>. Economics are people-powered: 70% of every dollar flows to providers<\/strong> (community or company) who keep models online.<\/p>\n\n\n\n Why it\u2019s #1 here.<\/strong> If you want provider-agnostic aggregation<\/strong> with pre-route transparency<\/strong> and resilience<\/strong>, ShareAI is the most direct fit. Keep a gateway if you need org-wide policies; add ShareAI for marketplace-guided routing<\/strong> and \u201calways-on\u201d availability<\/strong> across providers.<\/p>\n\n\n\n Quick links<\/strong> \u2014 Browse Models<\/a> \u00b7 Open Playground<\/a> \u00b7 Create API Key<\/a> \u00b7 API Reference<\/a> \u00b7 User Guide<\/a> \u00b7 Releases<\/a><\/p>\n\n\n\n For providers: earn by keeping models online<\/strong> Enterprise AI\/LLM gateway\u2014strong policies\/plugins, analytics, and observability for AI traffic. It\u2019s a control plane<\/strong> rather than a marketplace.<\/p>\n\n\n\n AI gateway emphasizing observability<\/strong>, guardrails<\/strong>, and governance<\/strong>\u2014popular where compliance is strict.<\/p>\n\n\n\n Unified API over many models; excellent for fast experimentation<\/strong> across a wide catalog.<\/p>\n\n\n\n Aggregates LLMs plus<\/strong> broader AI (vision, translation, TTS), with fallbacks\/caching and batching.<\/p>\n\n\n\n Lightweight SDK + self-hostable proxy<\/strong> exposing an OpenAI-compatible interface to many providers.<\/p>\n\n\n\n Quality-oriented routing and evaluation to pick better models per prompt<\/strong>.<\/p>\n\n\n\n Orchestration\/collaboration platform to move experiments \u2192 production<\/strong> with low-code flows.<\/p>\n\n\n\n Mature API management\/gateway you can place in front of LLM providers to apply policies, keys, and quotas<\/strong>.<\/p>\n\n\n\n DIY path: build custom routing, token enforcement, and caching for LLM backends if you prefer tight control.<\/p>\n\n\n\n GitLab AI Gateway vs ShareAI (tl;dr):<\/strong> Raw $\/1K tokens<\/strong> hides the real picture. TCO shifts with retries\/fallbacks<\/strong>, latency<\/strong> (which affects usage), provider variance<\/strong>, observability storage<\/strong>, and evaluation runs<\/strong>. A transparent marketplace helps you choose routes<\/strong> that balance cost and UX.<\/p>\n\n\n\n Keep gateway-level policies where they shine. Add ShareAI<\/strong> for marketplace routing + instant failover. Pattern: gateway auth\/policy<\/strong> \u2192 ShareAI route per model<\/strong> \u2192 measure marketplace stats<\/strong> \u2192 tighten policies.<\/p>\n\n\n\n Map model names, verify prompt parity, then shadow 10%<\/strong> of traffic and ramp 25% \u2192 50% \u2192 100%<\/strong> as latency\/error budgets hold. Marketplace data makes provider swaps<\/strong> straightforward.<\/p>\n\n\n\n Replace the self-hosted proxy on production<\/strong> routes you don\u2019t want to operate; keep LiteLLM for dev<\/strong> if desired. Compare ops overhead<\/strong> vs. managed routing benefits.<\/p>\n\n\n\n Define feature-parity<\/strong> expectations (analytics, guardrails, orchestration, plugins). Many teams run hybrid: keep specialized features where they\u2019re strongest; use ShareAI<\/strong> for transparent provider choice<\/strong> and failover<\/strong>.<\/p>\n\n\n\n The following use an OpenAI-compatible<\/strong> surface. Replace Next steps:<\/strong> Open Playground<\/a> \u00b7 Create API Key<\/a> \u00b7 API Reference<\/a><\/p>\n\n\n\nAggregators vs Gateways vs Agent platforms (quick primer)<\/h2>\n\n\n\n
\n
How we evaluated the best GitLab AI Gateway alternatives<\/h2>\n\n\n\n
\n
Top 10 GitLab AI Gateway alternatives<\/h2>\n\n\n\n
#1 \u2014 ShareAI (People-Powered AI API)<\/h3>\n\n\n\n
<\/figure>\n\n\n\n\n
Anyone can become a ShareAI provider\u2014Community<\/strong> or Company<\/strong>. Onboard via Windows<\/strong>, Ubuntu<\/strong>, macOS<\/strong>, or Docker<\/strong>. Contribute idle-time bursts<\/strong> or run always-on<\/strong>. Choose your incentive: Rewards<\/strong> (money), Exchange<\/strong> (tokens \/ AI Prosumer), or Mission<\/strong> (donate a % to NGOs). As you scale, set your own inference prices<\/strong> and gain preferential exposure<\/strong>. Provider Guide<\/a> \u00b7 Sign in \/ Sign up<\/a><\/p>\n\n\n\n#2 \u2014 Kong AI Gateway<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#3 \u2014 Portkey<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#4 \u2014 OpenRouter<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#5 \u2014 Eden AI<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#6 \u2014 LiteLLM<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#7 \u2014 Unify<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#8 \u2014 Orq AI<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#9 \u2014 Apigee (with LLMs behind it)<\/h3>\n\n\n\n
<\/figure>\n\n\n\n#10 \u2014 NGINX<\/h3>\n\n\n\n
<\/figure>\n\n\n\n\n
Need one API over many providers<\/strong> with marketplace transparency and instant failover? Choose ShareAI.<\/strong>
Need egress governance\u2014centralized credentials, policy, observability<\/strong>\u2014and you already picked your providers? GitLab AI Gateway<\/strong> fits that lane. Many teams pair them: gateway for org policy + ShareAI for marketplace-guided routing<\/strong>.<\/p>\n<\/blockquote>\n\n\n\nQuick comparison (at a glance)<\/h2>\n\n\n\n
Platform<\/th> Who it serves<\/th> Model breadth<\/th> Governance & security<\/th> Observability<\/th> Routing \/ failover<\/th> Marketplace transparency<\/th> Provider program<\/th><\/tr><\/thead> ShareAI<\/strong><\/td> Product\/platform teams needing one API + fair economics<\/td> 150+ models<\/strong>, many providers<\/td> API keys & per-route controls<\/td> Console usage + marketplace stats<\/td> Smart routing + instant failover<\/strong><\/td> Yes<\/strong> (price, latency, uptime, availability, provider type)<\/td> Yes<\/strong> \u2014 open supply; 70% to providers<\/strong><\/td><\/tr> GitLab AI Gateway<\/strong><\/td> Teams wanting egress governance<\/strong><\/td> BYO providers<\/td> Centralized credentials\/policies<\/td> Metrics\/tracing<\/td> Conditional routing via policies<\/td> No<\/strong> (infra tool, not a marketplace)<\/td> n\/a<\/td><\/tr> Kong AI Gateway<\/strong><\/td> Enterprises needing gateway-level policy<\/td> BYO<\/td> Strong edge policies\/plugins<\/td> Analytics<\/td> Proxy\/plugins, retries<\/td> No<\/td> n\/a<\/td><\/tr> Portkey<\/strong><\/td> Regulated\/enterprise teams<\/td> Broad<\/td> Guardrails & governance<\/td> Deep traces<\/td> Conditional routing<\/td> Partial<\/td> n\/a<\/td><\/tr> OpenRouter<\/strong><\/td> Devs wanting one key to many models<\/td> Wide catalog<\/td> Basic API controls<\/td> App-side<\/td> Fallbacks<\/td> Partial<\/td> n\/a<\/td><\/tr> Eden AI<\/strong><\/td> LLM + other AI services<\/td> Broad<\/td> Standard controls<\/td> Varies<\/td> Fallbacks\/caching<\/td> Partial<\/td> n\/a<\/td><\/tr> LiteLLM<\/strong><\/td> DIY\/self-host proxy<\/td> Many providers<\/td> Config\/key limits<\/td> Your infra<\/td> Retries\/fallback<\/td> n\/a<\/td> n\/a<\/td><\/tr> Unify<\/strong><\/td> Quality-driven teams<\/td> Multi-model<\/td> Standard API security<\/td> Platform analytics<\/td> Best-model selection<\/td> n\/a<\/td> n\/a<\/td><\/tr> Orq<\/strong><\/td> Orchestration-first teams<\/td> Wide support<\/td> Platform controls<\/td> Platform analytics<\/td> Orchestration flows<\/td> n\/a<\/td> n\/a<\/td><\/tr> Apigee \/ NGINX<\/strong><\/td> Enterprises \/ DIY<\/td> BYO<\/td> Policies<\/td> Add-ons \/ custom<\/td> Custom<\/td> n\/a<\/td> n\/a<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Pricing & TCO: compare real<\/em> costs (not just unit prices)<\/h2>\n\n\n\n
TCO \u2248 \u03a3 (Base_tokens \u00d7 Unit_price \u00d7 (1 + Retry_rate))\n + Observability_storage\n + Evaluation_tokens\n + Egress\n<\/code><\/pre>\n\n\n\n\n
Migration playbooks: moving to ShareAI<\/h2>\n\n\n\n
From GitLab AI Gateway<\/h3>\n\n\n\n
From OpenRouter<\/h3>\n\n\n\n
From LiteLLM<\/h3>\n\n\n\n
From Unify \/ Portkey \/ Orq \/ Kong<\/h3>\n\n\n\n
Developer quickstart (copy-paste)<\/h2>\n\n\n\n
YOUR_KEY<\/code> with your ShareAI key\u2014get one at Create API Key<\/a>.<\/p>\n\n\n\n#!\/usr\/bin\/env bash\n# cURL \u2014 Chat Completions\n# Prereqs:\n# export SHAREAI_API_KEY=\"YOUR_KEY\"\n\ncurl -X POST \"https:\/\/api.shareai.now\/v1\/chat\/completions\" \\\n -H \"Authorization: Bearer $SHAREAI_API_KEY\" \\\n -H \"Content-Type: application\/json\" \\\n -d '{\n \"model\": \"llama-3.1-70b\",\n \"messages\": [\n { \"role\": \"user\", \"content\": \"Give me a short haiku about reliable routing.\" }\n ],\n \"temperature\": 0.4,\n \"max_tokens\": 128\n }'\n<\/code><\/pre>\n\n\n\n\/\/ JavaScript (Node 18+\/Edge runtimes) \u2014 Chat Completions\n\/\/ Prereqs:\n\/\/ process.env.SHAREAI_API_KEY = \"YOUR_KEY\"\n\nasync function main() {\n const res = await fetch(\"https:\/\/api.shareai.now\/v1\/chat\/completions\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${process.env.SHAREAI_API_KEY}`,\n \"Content-Type\": \"application\/json\"\n },\n body: JSON.stringify({\n model: \"llama-3.1-70b\",\n messages: [\n { role: \"user\", content: \"Give me a short haiku about reliable routing.\" }\n ],\n temperature: 0.4,\n max_tokens: 128\n })\n });\n\n if (!res.ok) {\n console.error(\"Request failed:\", res.status, await res.text());\n return;\n }\n\n const data = await res.json();\n console.log(JSON.stringify(data, null, 2));\n}\n\nmain().catch(console.error);\n<\/code><\/pre>\n\n\n\nSecurity, privacy & compliance checklist (vendor-agnostic)<\/h2>\n\n\n\n
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