Compare ten OpenRouter alternatives by model access, self-hosting, privacy, fallback, observability, and price. Keep your SDK and choose the right gateway.
Keep the OpenAI SDK and move the same application to a different gateway. TrustedRouter combines a hosted model catalog, automatic fallback, and an attested prompt path that never stores prompt or output content.
No card required. Compare OpenRouter and TrustedRouter directly.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="trustedrouter/auto",
messages=[{"role": "user", "content": "Hello"}],
)The best OpenRouter alternative depends on why you are changing. Choose TrustedRouter for a hosted multi-provider API with privacy you can verify. Choose LiteLLM when your team wants to operate its own gateway. Choose Portkey for mature gateway controls and observability. Choose Vercel AI Gateway for a Vercel and AI SDK centered stack. Choose Cloudflare AI Gateway for edge controls. Choose Bedrock or Vertex AI when cloud procurement and IAM matter more than portability.
OpenRouter remains a strong choice for catalog breadth and a large developer ecosystem. TrustedRouter's public API now lists 600+ model ids, more than OpenRouter's current public model feed, while both products maintain broad and changing provider catalogs. The alternatives below solve different problems, so the right decision starts with deployment model, privacy boundary, provider access, fallback, and operational ownership.
| Alternative | Best for | Access model | Main tradeoff |
|---|---|---|---|
| TrustedRouter | Hosted routing with verifiable privacy | Prepaid credits or BYOK | Newer ecosystem than OpenRouter |
| LiteLLM | Teams that want to self-host | Bring provider accounts and keys | You operate the gateway and provider contracts |
| Portkey | Gateway governance and observability | Hosted or self-hosted gateway | More controls and configuration to manage |
| Vercel AI Gateway | Vercel and AI SDK applications | Hosted unified API | Most natural inside the Vercel ecosystem |
| Cloudflare AI Gateway | Edge policy, caching, and analytics | Unified billing or BYOK | Gateway controls differ from a model marketplace |
| Helicone | LLM observability and debugging | Gateway or provider keys | Privacy depends on the logging configuration you choose |
| Requesty | Hosted routing and request controls | Hosted unified API | Smaller ecosystem and catalog |
| Amazon Bedrock | AWS procurement, IAM, and governance | AWS account and regional model access | AWS-specific setup and model availability |
| Google Vertex AI | GCP procurement and Model Garden | GCP project and regional model access | GCP-specific setup and model availability |
| Direct provider APIs | One provider with the fewest intermediaries | Separate provider account for every API | You build routing, billing, failover, and reporting |
TrustedRouter is the closest fit when you want OpenRouter-style hosted model access with a different trust boundary. The gateway is source-visible and hardware-attested. It stores metadata for billing and reliability while prompt and output content remain ephemeral. Downstream retention and confidential-compute claims stay route-specific and visible on model and provider pages.
LiteLLM is the practical answer when your team wants an OpenAI-compatible proxy under its own operational control. It also works well in front of TrustedRouter: keep one or two direct provider relationships first, then use TrustedRouter as the final provider and fallback for 600+ additional models.
Portkey is strongest when policy, fallbacks, budgets, and gateway observability are the center of the decision. Helicone is strongest when tracing, cost analysis, and request debugging are the center. Both can fit teams that already have provider relationships. Review logging and content capture settings before sending sensitive traffic.
Vercel AI Gateway offers one endpoint, model routing, budgets, monitoring, and provider fallback. It is especially convenient for applications already built with the AI SDK or hosted on Vercel. Teams outside that stack should compare the convenience against a provider-neutral gateway.
Cloudflare AI Gateway puts analytics, caching, rate limits, retries, and fallback close to Cloudflare's network. It is compelling when those edge controls are already part of your architecture. Its product shape is a gateway layer first, rather than a broad model marketplace first.
Amazon Bedrock and Google Vertex AI fit organizations that want model access inside an existing cloud account, IAM structure, procurement process, and regional footprint. They trade some portability for cloud-native governance. Model names, regions, quotas, and compatibility vary by platform.
Start with the deployment model. Decide whether you want a hosted marketplace, a self-hosted proxy, a cloud-native service, or direct provider integrations.
Define the privacy boundary. Separate gateway content handling from the downstream provider's retention and confidential-compute posture. Ask what can be verified technically and what remains contractual.
Test failure behavior. Confirm which errors trigger retries, whether fallback crosses providers, and how duplicate billing is prevented.
Run a small task-specific eval. Price and benchmark tables narrow the field. Your own prompts reveal the quality, latency, and reliability that matter in production.
Check operating cost. Include platform fees, provider markup, engineering ownership, observability, support, and the cost of maintaining several integrations.
Product capabilities change. This guide uses first-party documentation and links to the detailed, dated comparison pages where TrustedRouter maintains evidence.
Catalog facts come from the routes currently configured in TrustedRouter. Performance uses the same cached metadata snapshot as the public leaderboard. Prompts and outputs are not part of these measurements.
| Model | Providers | Context | Input | Output | Privacy | Measured route |
|---|---|---|---|---|---|---|
Anthropic: Claude Opus 4.8anthropic/claude-opus-4.8 |
|
1,000,000 | $5.275/1M | $26.375/1M | varies 5 cited scores | 1735 ms TTFT anthropic · 53 tok/s · 100.00% available · n=2 |
OpenAI: GPT-5.5openai/gpt-5.5 |
|
1,050,000 | $5.275/1M | $31.65/1M | ZDR 3 cited scores | 2031 ms TTFT openai · 100.00% available · n=2 |
Google: Gemini 3.5 Flashgoogle/gemini-3.5-flash |
+1
|
1,048,576 | $1.5825/1M | $9.495/1M | ZDR | 1993 ms TTFT google-vertex · 62 tok/s · 100.00% available · n=4 |
MoonshotAI: Kimi K2.7 Codemoonshotai/kimi-k2.7-code |
+10
|
262,144 | $0.70685/1M to $1.00225/1M | $3.587/1M to $4.22/1M | ZDR 5 cited scores | 3564 ms TTFT kimi · 74 tok/s · 100.00% available · n=19 |
Z.ai: GLM 5.2z-ai/glm-5.2 |
+24
|
1,048,576 | $0.7174/1M to $2.437261/1M | $1.5825/1M to $7.037592/1M | E2EE 4 cited scores | measured baseten · 100.00% available · n=72 |
MiniMax: MiniMax M3minimax/minimax-m3 |
+9
|
524,288 | $0.24265/1M to $0.633/1M | $1.0128/1M to $2.532/1M | ZDR 4 cited scores | 1434 ms TTFT together · 40 tok/s · 100.00% available · n=74 |
Browse every modelReview provider policiesOpen the full leaderboardSnapshot 2026-09-15T17:26:26.221Z
There is no single best choice. TrustedRouter fits teams that want hosted multi-provider access with a hardware-attested prompt path. LiteLLM fits teams that want to self-host. Portkey fits governance-heavy gateway deployments. Vercel AI Gateway fits Vercel and AI SDK applications. Bedrock and Vertex AI fit cloud-native procurement and IAM.
An OpenAI-compatible hosted gateway is usually the easiest migration because the SDK can stay in place. With TrustedRouter, change the base URL to https://api.trustedrouter.com/v1, replace the API key, and test the model IDs and provider controls used by your application.
LiteLLM is designed for teams that want to operate their own OpenAI-compatible proxy. Portkey and Helicone also publish self-hosting options. TrustedRouter publishes its gateway and control-plane source for teams that want the same routing and attestation architecture under their own control.
Compare the entire request path, not only the gateway policy. TrustedRouter's attested gateway never stores prompt or output content. Every downstream route separately identifies zero-data-retention status and independently verified end-to-end confidential compute so sensitive workloads can fail closed on the required privacy tier.
Yes. TrustedRouter, LiteLLM, Portkey, Vercel AI Gateway, Cloudflare AI Gateway, Helicone, and Requesty all offer OpenAI-compatible paths. Compatibility varies for advanced fields, Responses API features, tools, images, streaming events, and provider-specific controls, so test the exact surface your application uses.