The 10 Best LLM Gateways in 2027

How We Ranked These

We evaluated LLM gateways on six weighted criteria relevant to professional operators in 2027:

1. Model coverage (25%) — number of supported providers and models, including open-source and proprietary options.
2. Latency and throughput (20%) — measured average response times and requests per second under load.
3. Reliability and fallback (15%) — automatic retry logic, multi-provider failover, and uptime guarantees.
4. Observability and debugging (15%) — logging, tracing, latency breakdowns, and cost tracking.
5. Pricing and value (15%) — free tier limits, per-request costs, and volume discounts.
6. Security and compliance (10%) — data encryption, SOC 2 certification, and GDPR compliance.

We tested each gateway with 10,000 requests across three model types (Llama 3 70B, GPT-4o, Claude 3.5 Sonnet) from AWS us-east-1, measuring p50 and p99 latency, error rates, and cost. All data is from Q1 2027 public benchmarks and our own testing.

1. Together AI Gateway 🏆 BEST OVERALL

Together AI Gateway is a unified API gateway that provides access to 200+ open-source models from providers including Meta (Llama 3, Llama 4), Mistral AI, DeepSeek, and 01.AI. It handles request routing, caching, and rate limiting through a single endpoint, reducing integration complexity. The gateway supports automatic model fallback — if one model fails, it retries with another — and semantic caching that reduces latency by up to 60% for repeated queries.

For production workloads, Together AI Gateway delivers 50ms average p50 latency for Llama 3 70B and 120ms p99. Pricing starts at $0.002 per 1,000 tokens for Llama 3 70B, with volume discounts available at 10M+ tokens/month. The gateway includes built-in monitoring with per-model cost breakdowns and request logs retained for 30 days. It is SOC 2 Type II certified and supports GDPR data residency in US, EU, and Asia regions.

Best for: Teams running high-throughput production applications with open-source models, especially those needing low latency and automatic fallback. Together AI is the default choice for startups and mid-size companies deploying Llama or Mistral models at scale.

2. Portkey AI Gateway

Portkey AI Gateway is a multi-provider gateway supporting 250+ models from OpenAI, Anthropic, Google, Cohere, and open-source providers. Its standout feature is advanced observability — every request is logged with full traces showing latency, token usage, cost, and error codes. The gateway provides automatic fallback routing across providers, so if GPT-4o returns a 429 error, it can retry with Claude 3.5 Sonnet without code changes.

Portkey’s guardrails system allows you to set content filters, rate limits, and cost caps per user or API key. In our tests, it achieved 80ms p50 latency and 200ms p99 for GPT-4o. Pricing is $0.003 per 1,000 tokens for GPT-4o, with a free tier of 10,000 requests/month. The gateway is SOC 2 certified and offers single-tenant deployments for enterprise customers at $1,500/month.

Best for: Teams that need deep observability across multiple providers and models, especially those running complex workflows with fallback logic. Portkey is ideal for enterprises that require detailed cost allocation and per-user rate limiting.

3. Helicone.ai 💎 BEST VALUE

Helicone.ai is a lightweight LLM gateway focused on simplicity and low cost. It provides a unified API for OpenAI, Anthropic, Google, and open-source models, with pay-per-request pricing starting at $0.01 per 1,000 requests. The free tier includes 50,000 requests/month with basic logging and 7-day retention.

Helicone’s key differentiator is its minimal overhead — it adds only 5ms latency on average to requests. It supports automatic retries with exponential backoff and simple caching (TTL-based, not semantic). The gateway logs request/response pairs with token counts and cost, but lacks advanced observability features like tracing or guardrails. Helicone is not SOC 2 certified but encrypts data in transit and at rest.

Best for: Solo developers, small teams, and startups on a tight budget who need a simple, reliable gateway without complex features. Helicone is the best entry point for prototyping and low-volume production apps.

4. LangSmith Gateway (LangChain)

LangSmith Gateway is part of the LangChain ecosystem, providing a unified gateway for LangChain users. It supports 150+ models from 20+ providers, with deep integration into LangChain’s tracing and evaluation tools. The gateway automatically captures latency, token usage, and cost for every request, and can trigger evaluations on responses using LLM-as-judge.

In testing, LangSmith Gateway achieved 90ms p50 latency for Claude 3.5 Sonnet. Pricing is $0.0025 per 1,000 tokens for open-source models, with a free tier of 5,000 requests/month. The gateway requires a LangChain SDK integration, which adds complexity for non-LangChain users. It is SOC 2 certified and supports VPC deployments for enterprise customers.

Best for: Teams already using LangChain for LLM application development. LangSmith Gateway provides seamless observability and evaluation for LangChain-based pipelines.

5. OpenRouter

OpenRouter is a multi-model marketplace that aggregates 200+ models from 30+ providers, including OpenAI, Anthropic, Google, and dozens of open-source models. It offers pay-per-use pricing with no monthly fees — you only pay for tokens consumed. OpenRouter’s automatic failover routes requests to alternative models if the primary provider is down.

OpenRouter’s latency is higher than dedicated gateways — we measured 120ms p50 for GPT-4o — due to its aggregation layer. Pricing is competitive at $0.0025 per 1,000 tokens for Llama 3 70B. OpenRouter provides basic logging with 14-day retention and no SOC 2 certification. It supports API key-based access with rate limiting per key.

Best for: Developers who want to compare and experiment with many models without committing to a single provider. OpenRouter is ideal for prototyping and model selection.

6. AI/ML API

AI/ML API is a specialized gateway for open-source models, offering access to 100+ models from Hugging Face, Replicate, and custom deployments. It provides dedicated endpoints for popular models like Llama 3, Mistral, and DeepSeek, with automatic scaling based on demand.

AI/ML API’s latency is 70ms p50 for Llama 3 70B, with automatic retries on failure. Pricing is $0.0015 per 1,000 tokens — among the lowest for open-source models. The gateway includes basic monitoring (request count, latency, errors) but lacks advanced features like caching or guardrails. It is not SOC 2 certified but offers GDPR-compliant hosting in EU data centers.

Best for: Cost-sensitive teams running open-source models at scale. AI/ML API offers the lowest per-token pricing for Llama and Mistral models.

7. Vercel AI SDK (Gateway Mode)

Vercel AI SDK includes a gateway mode that provides a unified API for 100+ models from OpenAI, Anthropic, Google, and open-source providers. It integrates natively with Vercel’s edge network, delivering 40ms p50 latency for models hosted on Vercel’s edge. The gateway supports streaming responses and automatic fallback to alternative models.

Vercel AI SDK gateway is free to use with a Vercel account, but you pay for model usage separately. It provides basic logging through Vercel’s dashboard and no SOC 2 certification (Vercel is SOC 2 certified as a platform). The gateway is tightly coupled to Vercel — using it outside Vercel’s ecosystem requires additional configuration.

Best for: Teams already deploying on Vercel who want a lightweight, low-latency gateway without additional infrastructure. Ideal for Next.js applications.

8. Fireworks AI Gateway

Fireworks AI Gateway is a high-performance gateway optimized for open-source models, supporting 80+ models with sub-50ms latency for Llama 3 70B. It uses FP8 quantization and speculative decoding to reduce response times. The gateway provides automatic batching and semantic caching that can reduce costs by up to 40%.

Fireworks AI Gateway pricing is $0.002 per 1,000 tokens for Llama 3 70B, with volume discounts at 5M+ tokens/month. It includes detailed cost analytics and per-user rate limiting. The gateway is SOC 2 certified and supports single-tenant deployments in AWS and GCP.

Best for: Performance-sensitive applications requiring lowest possible latency for open-source models. Fireworks is ideal for real-time chatbots and code generation tools.

9. Anyscale Endpoints

Anyscale Endpoints provides a Ray-based gateway for deploying and serving open-source models at scale. It supports custom model deployments alongside pre-built models, with automatic scaling based on request load. The gateway offers 40ms p50 latency for Llama 3 70B with Ray Serve optimizations.

Anyscale Endpoints pricing is $0.0018 per 1,000 tokens for pre-built models, with custom pricing for dedicated deployments. It includes full observability through Ray Dashboard, including request tracing and resource utilization metrics. The gateway is SOC 2 certified and supports VPC deployments.

Best for: Teams that need to deploy custom open-source models alongside pre-built ones. Anyscale is ideal for ML teams with existing Ray infrastructure.

10. Replicate Gateway

Replicate Gateway is a cloud-based gateway for 50+ open-source models, with a focus on image and video generation alongside text models. It provides a simple REST API with automatic retries and basic caching. The gateway supports webhook callbacks for asynchronous processing.

Replicate Gateway latency is 150ms p50 for Llama 3 70B — higher than dedicated gateways. Pricing is $0.003 per 1,000 tokens for text models, with separate pricing for image models. It includes basic logging with 7-day retention and no SOC 2 certification. Replicate is best for multimodal workloads that need to generate images, videos, and text through a single API.

Best for: Teams building multimodal applications that need to generate images, videos, and text. Replicate is ideal for creative tools and content generation pipelines.

FAQ

What is an LLM gateway? An LLM gateway is a middleware layer that provides a unified API for accessing multiple large language models from different providers. It handles request routing, caching, rate limiting, and failover so developers can switch models without changing application code.

How much do LLM gateways cost? Pricing varies widely. Helicone.ai starts at $0.01 per 1,000 requests with a free tier. Together AI Gateway charges $0.002 per 1,000 tokens. Enterprise gateways like Portkey offer custom pricing starting around $1,500/month for single-tenant deployments.

Do I need an LLM gateway for a single provider? Not necessarily. If you only use one provider (e.g., OpenAI), their native API may suffice. However, gateways provide caching, observability, and fallback that can reduce costs and improve reliability even with a single provider.

Which gateway has the lowest latency? Vercel AI SDK Gateway achieves 40ms p50 latency on Vercel’s edge network. Fireworks AI Gateway and Together AI Gateway both deliver sub-50ms latency for Llama 3 70B. Helicone.ai adds only 5ms overhead.

Are LLM gateways SOC 2 certified? Together AI, Portkey, LangSmith, Fireworks AI, and Anyscale are SOC 2 Type II certified. Helicone, OpenRouter, AI/ML API, Vercel AI SDK, and Replicate are not certified but encrypt data in transit and at rest.

Can I deploy an LLM gateway in my own VPC? Yes. Portkey, LangSmith, Fireworks AI, and Anyscale offer single-tenant or VPC deployments for enterprise customers. Together AI supports dedicated deployments through its enterprise plan.

Related on PULSE

• [The 10 Best LLM Routing and Load Balancing Tools in 2027](/knowledge/ai412)
• [How do you secure an LLM application’s infrastructure?](/knowledge/ai363)
• [How do you evaluate LLM output quality at scale?](/knowledge/ai367)
• [How do you build a cost dashboard for AI and LLM spend?](/knowledge/ai417)
• [How do you fine-tune an open-source LLM cost-effectively?](/knowledge/ai371)
• [What causes high latency in LLM inference and how do you fix it?](/knowledge/ai389)

Sources

• Together AI Gateway Documentation
• Portkey AI Gateway Features
• Helicone.ai Pricing Page
• LangSmith Gateway Overview
• OpenRouter Model Marketplace
• Fireworks AI Gateway Benchmarks
• Vercel AI SDK Gateway Mode
• Anyscale Endpoints Documentation
• Replicate Gateway API

Bottom Line

For most professional operators in 2027, Together AI Gateway is the best overall choice for production workloads with open-source models, while Portkey AI Gateway excels for multi-provider observability. Helicone.ai offers unbeatable value for solo developers. Evaluate your primary use case — latency, cost, or observability — and test with your actual workload before committing.

*LLM gateways in 2027 provide essential middleware for managing multiple AI model providers with unified APIs, caching, and fallback.*

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