What Higress is (and isn\u2019t)<\/h2>\n\n\n\n![\"higress-alternatives\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/higress-1024x502.jpg\")
<\/figure>\n\n\n\nHigress<\/strong> and positions itself as an \u201cAI Gateway | AI Native API Gateway.\u201d It\u2019s based on Istio<\/em> and Envoy<\/em>, fusing traffic, microservice, and security gateway layers into a single control plane and supporting Wasm plugins (Go\/Rust\/JS). It also offers a console and deployment via Docker\/Helm. In short: a governance-first gateway<\/strong> for AI and microservices egress, not a transparent model marketplace.<\/p>\n\n\n\nUseful context:<\/em> Higress emphasizes a \u201ctriple-gateway integration\u201d (traffic + microservices + security) to reduce operational cost. It\u2019s open source and community-backed.<\/p>\n\n\n\nAggregators vs Gateways vs Agent Platforms<\/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) and smart routing\/failover<\/strong>.<\/li>\n\n\n\n
- AI gateways<\/strong>: policy\/governance<\/strong> at the edge (keys, rate limits, guardrails) + observability<\/strong>; you bring the providers<\/em>. Higress<\/strong> sits here.<\/li>\n\n\n\n
- Agent\/chatbot platforms<\/strong>: packaged UX (sessions\/memory\/tools\/channels), geared to shipping assistants rather than provider-agnostic aggregation.<\/li>\n<\/ul>\n\n\n\n
How we evaluated the best Higress alternatives<\/h2>\n\n\n\n\n- Model breadth & neutrality<\/strong>: proprietary + open; easy switching; 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.<\/li>\n\n\n\n
- Observability<\/strong>: logs\/traces and cost\/latency dashboards.<\/li>\n\n\n\n
- Pricing transparency & TCO<\/strong>: compare real costs before<\/em> you route.<\/li>\n\n\n\n
- Developer experience<\/strong>: docs, SDKs, quickstarts; time-to-first-token.<\/li>\n<\/ul>\n\n\n\n
Top 10 Higress 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 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<\/strong> flows to providers (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>.<\/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: 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 (community or company).<\/li>\n<\/ul>\n\n\n\n
Quick links \u2014<\/strong> Browse Models<\/a> \u00b7 Open Playground<\/a> \u00b7 Create API Key<\/a> \u00b7 API Reference<\/a> \u00b7 User Guide<\/a> \u00b7 Releases<\/a> \u00b7 Sign in \/ Sign up<\/a><\/p>\n\n\n\nFor providers: earn by keeping models online.<\/strong> Anyone can become a ShareAI provider\u2014Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards<\/strong> (money), Exchange<\/strong> (tokens\/AI Prosumer), or Mission<\/strong> (donate a % to NGOs). As you scale, you can set inference prices and gain preferential exposure. Provider Guide<\/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\nWhat it is.<\/strong> Enterprise AI\/LLM gateway\u2014governance, policies\/plugins, analytics, observability for AI traffic at the edge. It\u2019s a control plane<\/strong>, not 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\nWhat it is.<\/strong> AI gateway emphasizing observability, guardrails, and governance\u2014popular with regulated teams.<\/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\nWhat it is.<\/strong> Unified API over many models; great 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\nWhat it is.<\/strong> Aggregates LLMs + broader AI<\/strong> (image, translation, TTS), with fallbacks\/caching and batching.<\/p>\n\n\n\n#6 \u2014 LiteLLM<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/litellm-1024x542.jpg\")
<\/figure>\n\n\n\nWhat it is.<\/strong> Lightweight Python SDK + self-hostable proxy<\/strong> that speaks an OpenAI-compatible interface to many providers.<\/p>\n\n\n\n#7 \u2014 Unify<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/unify-1024x544.jpg\")
<\/figure>\n\n\n\nWhat it is.<\/strong> Quality-oriented routing<\/strong> and evaluation to pick better models per prompt.<\/p>\n\n\n\n#8 \u2014 Orq AI<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/orgai-1024x549.png\")
<\/figure>\n\n\n\nWhat it is.<\/strong> Orchestration\/collaboration platform that helps teams move from experiments to production with low-code flows<\/strong>.<\/p>\n\n\n\n#9 \u2014 Apigee (with LLMs behind it)<\/h3>\n\n\n\n![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/Apigee-1024x511.jpg\")
<\/figure>\n\n\n\nWhat it is.<\/strong> Mature API management\/gateway you can place in front of LLM providers to apply policies, keys, 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\nWhat it is.<\/strong> Use NGINX or APISIX to build custom routing, token enforcement, and caching<\/strong> for LLM backends if you prefer DIY control<\/strong>.<\/p>\n\n\n\nHigress vs ShareAI (which to choose?)<\/h2>\n\n\n\n
If you need one API over many providers<\/strong> with transparent pricing\/latency\/uptime\/availability<\/strong> and instant failover<\/strong>, choose ShareAI<\/strong>. If your top requirement is egress governance<\/strong>\u2014centralized credentials\/policy enforcement and observability<\/strong>\u2014Higress fits that lane (Istio\/Envoy base, Wasm extensibility). Many teams pair them<\/strong>: gateway for org policy + ShareAI for marketplace routing.<\/p>\n\n\n\nQuick comparison<\/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>Higress<\/strong><\/td>Teams wanting egress governance<\/td> BYO providers<\/strong><\/td>Centralized credentials\/policies; Wasm plugins<\/td> Istio\/Envoy-friendly metrics<\/td> Conditional routing via filters\/plugins<\/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 (infra)<\/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<\/td> Wide catalog<\/td> Basic API controls<\/td> App-side<\/td> Fallbacks<\/td> Partial<\/td> n\/a<\/td><\/tr> Eden AI<\/strong><\/td>Teams needing 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 \/ APISIX<\/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 costs (not just unit prices)<\/h2>\n\n\n\n
Raw $\/1K tokens<\/strong> hides the real picture. TCO shifts<\/strong> with retries\/fallbacks, latency (which affects usage), provider variance, observability storage, and evaluation runs. A transparent marketplace<\/strong> helps you choose routes that balance cost and UX.<\/p>\n\n\n\nTCO \u2248 \u03a3 (Base_tokens \u00d7 Unit_price \u00d7 (1 + Retry_rate)) + Observability_storage + Evaluation_tokens + Egress<\/code><\/p>\n\n\n\n\n- Prototype (~10k tokens\/day):<\/strong> Optimize for time-to-first-token (Playground, quickstarts).<\/li>\n\n\n\n
- Mid-scale (~2M tokens\/day):<\/strong> Marketplace-guided routing\/failover can trim 10\u201320% while improving UX.<\/li>\n\n\n\n
- Spiky workloads:<\/strong> Expect higher effective token costs from retries during failover; budget for it.<\/li>\n<\/ul>\n\n\n\n
Migration guide: moving to ShareAI<\/h2>\n\n\n\nFrom Higress<\/h3>\n\n\n\n
Keep gateway-level policies where they shine, add ShareAI for marketplace routing + instant failover<\/strong>. Pattern: gateway auth\/policy \u2192 ShareAI<\/strong> route per model \u2192 measure marketplace stats \u2192 tighten policies.<\/p>\n\n\n\nFrom OpenRouter<\/h3>\n\n\n\n
Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% \u2192 50% \u2192 100%<\/strong> as latency\/error budgets hold. Marketplace data makes provider swaps straightforward.<\/p>\n\n\n\nFrom LiteLLM<\/h3>\n\n\n\n
Replace the self-hosted proxy<\/strong> on production routes you don\u2019t want to operate; keep LiteLLM for dev if desired. Compare ops overhead 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 for transparent provider choice<\/strong> and failover<\/strong>.<\/p>\n\n\n\nDeveloper quickstart (copy-paste)<\/h2>\n\n\n\n
Use an OpenAI-compatible surface<\/strong>. Replace YOUR_KEY<\/code> with your ShareAI key \u2014 get one at Create API Key<\/a>. See the API Reference<\/a> for details. Then try the Playground<\/a>.<\/p>\n\n\n\n#!\/usr\/bin\/env bash\n# cURL (bash) \u2014 Chat Completions\n# Prereqs:\n# export SHAREAI_API_KEY=\"YOUR_KEY\"\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 (fetch) \u2014 Node 18+\/Edge runtimes\n\/\/ Prereqs:\n\/\/ process.env.SHAREAI_API_KEY = \"YOUR_KEY\"\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 if (!res.ok) {\n console.error(\"Request failed:\", res.status, await res.text());\n return;\n }\n const data = await res.json();\n console.log(JSON.stringify(data, null, 2));\n}\nmain().catch(console.error);\n<\/code><\/pre>\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
- PII & sensitive content<\/strong>: masking; access controls; regional routing<\/strong> for data locality.<\/li>\n\n\n\n
- Observability<\/strong>: prompt\/response logging; ability to filter or pseudonymize; propagate trace IDs consistently (OTel).<\/li>\n\n\n\n
- Incident response<\/strong>: escalation paths and provider SLAs.<\/li>\n<\/ul>\n\n\n\n
FAQ \u2014 Higress vs other competitors (and when ShareAI fits)<\/h2>\n\n\n\nHigress vs ShareAI \u2014 which for multi-provider routing?<\/h3>\n\n\n\n
ShareAI.<\/strong> It\u2019s built for marketplace transparency (price, latency, uptime, availability, provider type<\/strong>) and smart routing\/failover<\/strong> across many providers. Higress<\/strong> is an egress governance<\/strong> tool (Istio\/Envoy, Wasm, centralized policy). Many teams use both.<\/p>\n\n\n\nHigress vs Kong \u2014 two AI gateways?<\/h3>\n\n\n\n
Both are gateways (policies, plugins, analytics), not marketplaces. Kong leans enterprise plugins; Higress<\/strong> leans Istio\/Envoy + Wasm. Pair either with ShareAI<\/strong> for transparent multi-provider routing.<\/p>\n\n\n\nHigress vs Traefik \u2014 thin AI layer or Istio\/Envoy stack?<\/h3>\n\n\n\n
Traefik-style gateways bring middlewares and OTel-friendly observability; Higress<\/strong> rides on Istio\/Envoy with Wasm extensibility. For one API over many providers<\/strong> with pre-route transparency, add ShareAI<\/strong>.<\/p>\n\n\n\nHigress vs Apache APISIX \u2014 Envoy vs NGINX\/Lua<\/h3>\n\n\n\n
Higress<\/strong> is Envoy\/Istio-based; APISIX<\/strong> is NGINX\/Lua-based. If you want marketplace visibility<\/strong> and failover across many model providers, use ShareAI<\/strong> alongside.<\/p>\n\n\n\nHigress vs NGINX \u2014 DIY vs turnkey AI gateway<\/h3>\n\n\n\n
NGINX gives powerful DIY control; Higress<\/strong> packages a modern, Istio-friendly gateway. Add ShareAI<\/strong> when you need provider-agnostic routing and live pricing\/latency<\/strong> before you choose.<\/p>\n\n\n\nHigress vs Apigee \u2014 AI egress vs API management<\/h3>\n\n\n\n
Apigee is broad API management; Higress<\/strong> is an AI-native gateway. ShareAI<\/strong> complements either with
<\/figure>\n\n\n\nHigress<\/strong> and positions itself as an \u201cAI Gateway | AI Native API Gateway.\u201d It\u2019s based on Istio<\/em> and Envoy<\/em>, fusing traffic, microservice, and security gateway layers into a single control plane and supporting Wasm plugins (Go\/Rust\/JS). It also offers a console and deployment via Docker\/Helm. In short: a governance-first gateway<\/strong> for AI and microservices egress, not a transparent model marketplace.<\/p>\n\n\n\n Useful context:<\/em> Higress emphasizes a \u201ctriple-gateway integration\u201d (traffic + microservices + security) to reduce operational cost. It\u2019s open source and community-backed.<\/p>\n\n\n\n What it is.<\/strong> A multi-provider API<\/strong> with a transparent marketplace 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<\/strong> flows to providers (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>.<\/p>\n\n\n\n Quick links \u2014<\/strong> Browse Models<\/a> \u00b7 Open Playground<\/a> \u00b7 Create API Key<\/a> \u00b7 API Reference<\/a> \u00b7 User Guide<\/a> \u00b7 Releases<\/a> \u00b7 Sign in \/ Sign up<\/a><\/p>\n\n\n\n For providers: earn by keeping models online.<\/strong> Anyone can become a ShareAI provider\u2014Community or Company. Onboard via Windows, Ubuntu, macOS, or Docker. Contribute idle-time bursts or run always-on. Choose your incentive: Rewards<\/strong> (money), Exchange<\/strong> (tokens\/AI Prosumer), or Mission<\/strong> (donate a % to NGOs). As you scale, you can set inference prices and gain preferential exposure. Provider Guide<\/a><\/p>\n\n\n\n What it is.<\/strong> Enterprise AI\/LLM gateway\u2014governance, policies\/plugins, analytics, observability for AI traffic at the edge. It\u2019s a control plane<\/strong>, not a marketplace.<\/p>\n\n\n\n What it is.<\/strong> AI gateway emphasizing observability, guardrails, and governance\u2014popular with regulated teams.<\/p>\n\n\n\n What it is.<\/strong> Unified API over many models; great for fast experimentation<\/strong> across a wide catalog.<\/p>\n\n\n\n What it is.<\/strong> Aggregates LLMs + broader AI<\/strong> (image, translation, TTS), with fallbacks\/caching and batching.<\/p>\n\n\n\n What it is.<\/strong> Lightweight Python SDK + self-hostable proxy<\/strong> that speaks an OpenAI-compatible interface to many providers.<\/p>\n\n\n\n What it is.<\/strong> Quality-oriented routing<\/strong> and evaluation to pick better models per prompt.<\/p>\n\n\n\n What it is.<\/strong> Orchestration\/collaboration platform that helps teams move from experiments to production with low-code flows<\/strong>.<\/p>\n\n\n\n What it is.<\/strong> Mature API management\/gateway you can place in front of LLM providers to apply policies, keys, quotas<\/strong>.<\/p>\n\n\n\n What it is.<\/strong> Use NGINX or APISIX to build custom routing, token enforcement, and caching<\/strong> for LLM backends if you prefer DIY control<\/strong>.<\/p>\n\n\n\n If you need one API over many providers<\/strong> with transparent pricing\/latency\/uptime\/availability<\/strong> and instant failover<\/strong>, choose ShareAI<\/strong>. If your top requirement is egress governance<\/strong>\u2014centralized credentials\/policy enforcement and observability<\/strong>\u2014Higress fits that lane (Istio\/Envoy base, Wasm extensibility). Many teams pair them<\/strong>: gateway for org policy + ShareAI for marketplace routing.<\/p>\n\n\n\n Raw $\/1K tokens<\/strong> hides the real picture. TCO shifts<\/strong> with retries\/fallbacks, latency (which affects usage), provider variance, observability storage, and evaluation runs. A transparent marketplace<\/strong> helps you choose routes that balance cost and UX.<\/p>\n\n\n\n Keep gateway-level policies where they shine, add ShareAI for marketplace routing + instant failover<\/strong>. Pattern: gateway auth\/policy \u2192 ShareAI<\/strong> route per model \u2192 measure marketplace stats \u2192 tighten policies.<\/p>\n\n\n\n Map model names, verify prompt parity, then shadow 10% of traffic and ramp 25% \u2192 50% \u2192 100%<\/strong> as latency\/error budgets hold. Marketplace data makes provider swaps straightforward.<\/p>\n\n\n\n Replace the self-hosted proxy<\/strong> on production routes you don\u2019t want to operate; keep LiteLLM for dev if desired. Compare ops overhead 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 for transparent provider choice<\/strong> and failover<\/strong>.<\/p>\n\n\n\n Use an OpenAI-compatible surface<\/strong>. Replace ShareAI.<\/strong> It\u2019s built for marketplace transparency (price, latency, uptime, availability, provider type<\/strong>) and smart routing\/failover<\/strong> across many providers. Higress<\/strong> is an egress governance<\/strong> tool (Istio\/Envoy, Wasm, centralized policy). Many teams use both.<\/p>\n\n\n\n Both are gateways (policies, plugins, analytics), not marketplaces. Kong leans enterprise plugins; Higress<\/strong> leans Istio\/Envoy + Wasm. Pair either with ShareAI<\/strong> for transparent multi-provider routing.<\/p>\n\n\n\n Traefik-style gateways bring middlewares and OTel-friendly observability; Higress<\/strong> rides on Istio\/Envoy with Wasm extensibility. For one API over many providers<\/strong> with pre-route transparency, add ShareAI<\/strong>.<\/p>\n\n\n\n Higress<\/strong> is Envoy\/Istio-based; APISIX<\/strong> is NGINX\/Lua-based. If you want marketplace visibility<\/strong> and failover across many model providers, use ShareAI<\/strong> alongside.<\/p>\n\n\n\n NGINX gives powerful DIY control; Higress<\/strong> packages a modern, Istio-friendly gateway. Add ShareAI<\/strong> when you need provider-agnostic routing and live pricing\/latency<\/strong> before you choose.<\/p>\n\n\n\n Apigee is broad API management; Higress<\/strong> is an AI-native gateway. ShareAI<\/strong> complements either with Aggregators vs Gateways vs Agent Platforms<\/h2>\n\n\n\n
\n
How we evaluated the best Higress alternatives<\/h2>\n\n\n\n
\n
Top 10 Higress alternatives<\/h2>\n\n\n\n
#1 \u2014 ShareAI (People-Powered AI API)<\/h3>\n\n\n\n
<\/figure>\n\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\nHigress vs ShareAI (which to choose?)<\/h2>\n\n\n\n
Quick comparison<\/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> Higress<\/strong><\/td> Teams wanting egress governance<\/td> BYO providers<\/strong><\/td> Centralized credentials\/policies; Wasm plugins<\/td> Istio\/Envoy-friendly metrics<\/td> Conditional routing via filters\/plugins<\/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 (infra)<\/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<\/td> Wide catalog<\/td> Basic API controls<\/td> App-side<\/td> Fallbacks<\/td> Partial<\/td> n\/a<\/td><\/tr> Eden AI<\/strong><\/td> Teams needing 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 \/ APISIX<\/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 costs (not just unit prices)<\/h2>\n\n\n\n
TCO \u2248 \u03a3 (Base_tokens \u00d7 Unit_price \u00d7 (1 + Retry_rate)) + Observability_storage + Evaluation_tokens + Egress<\/code><\/p>\n\n\n\n\n
Migration guide: moving to ShareAI<\/h2>\n\n\n\n
From Higress<\/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 \u2014 get one at Create API Key<\/a>. See the API Reference<\/a> for details. Then try the Playground<\/a>.<\/p>\n\n\n\n#!\/usr\/bin\/env bash\n# cURL (bash) \u2014 Chat Completions\n# Prereqs:\n# export SHAREAI_API_KEY=\"YOUR_KEY\"\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 (fetch) \u2014 Node 18+\/Edge runtimes\n\/\/ Prereqs:\n\/\/ process.env.SHAREAI_API_KEY = \"YOUR_KEY\"\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 if (!res.ok) {\n console.error(\"Request failed:\", res.status, await res.text());\n return;\n }\n const data = await res.json();\n console.log(JSON.stringify(data, null, 2));\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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FAQ \u2014 Higress vs other competitors (and when ShareAI fits)<\/h2>\n\n\n\n
Higress vs ShareAI \u2014 which for multi-provider routing?<\/h3>\n\n\n\n
Higress vs Kong \u2014 two AI gateways?<\/h3>\n\n\n\n
Higress vs Traefik \u2014 thin AI layer or Istio\/Envoy stack?<\/h3>\n\n\n\n
Higress vs Apache APISIX \u2014 Envoy vs NGINX\/Lua<\/h3>\n\n\n\n
Higress vs NGINX \u2014 DIY vs turnkey AI gateway<\/h3>\n\n\n\n
Higress vs Apigee \u2014 AI egress vs API management<\/h3>\n\n\n\n