LiteLLM is where most teams start. It solves the first problem well: a single OpenAI-compatible API that routes to 100+ providers. For a prototype or internal tool, it's hard to beat.
The problems surface later — when request volume grows, when the team needs to enforce spending per customer, or when the ops burden of running PostgreSQL, Redis, and a Python proxy in production starts adding up.
This post covers the five alternatives production teams are actually using in 2026, with verified pricing, what each tool does, and where each one falls short.
Why Teams Move Off LiteLLM
Three patterns come up consistently in engineering discussions:
Performance at scale. LiteLLM is Python. The GIL is a structural ceiling. Teams report latency degradation that only appears after crossing certain request-per-second thresholds — invisible during development, painful in production. Benchmarks from Maxim AI show their Go-based Bifrost gateway running at 11 microseconds overhead per request at 5,000 RPS, compared to significantly higher overhead in Python-based proxies.
Self-hosting burden. A production LiteLLM deployment is not one process. It requires the proxy, PostgreSQL for spend tracking, Redis for caching, and your own monitoring stack. That's significant operational overhead for a tool whose job is forwarding requests.
No customer-level budget hierarchy. LiteLLM enforces budgets at the virtual key or team level. For SaaS companies that need to enforce per-end-customer spending limits — and bill those customers for their usage — LiteLLM has no native answer. Building it requires provisioning a virtual key per customer, maintaining the mapping, and writing custom billing reconciliation code.
Supply chain compromise (March 2026). On March 24, 2026, malicious packages were published to PyPI as LiteLLM versions 1.82.7 and 1.82.8. The attacker had compromised LiteLLM's CI/CD pipeline five days earlier by stealing a Trivy credential, then used that access to inject package-level code that exfiltrated SSH keys, cloud credentials, Kubernetes tokens, database passwords, and cryptocurrency wallets from any environment that installed either version. The exposure window was approximately 40 minutes before the packages were removed. The vulnerability is tracked as CVE-2026-33634 (CVSS 9.4) and was documented by Datadog Security Labs, Snyk, Trend Micro, and CISA. LiteLLM published its own security advisory at docs.litellm.ai/blog/security-update-march-2026. For teams with compliance requirements, this incident is a recurring reason for evaluating alternatives with a smaller, auditable attack surface.
The Five Alternatives — Compared
| Tool | Type | Blocks before call fires | Per-user metering | Passthrough billing | Self-hosted | Starting price |
|---|---|---|---|---|---|---|
| noburn.dev | Hosted SaaS | ✅ Pre-flight | ✅ Yes | ✅ Stripe native | ❌ | Free |
| Portkey | Hosted SaaS + OSS | ⚠️ Enterprise only | ⚠️ Enterprise only | ❌ | ✅ | Free |
| Helicone | Hosted SaaS + OSS | ❌ Rate limits only | ✅ Pro+ | ❌ | ✅ | Free |
| Bifrost (Maxim) | OSS self-hosted | ✅ Yes | ✅ Yes | ❌ | ✅ | Free |
| TensorZero | OSS self-hosted | ❌ | ❌ | ❌ | ✅ | Free |
1. noburn.dev
Type: Hosted SaaS Pricing: Free (50k req/mo) · $9/mo Early Bird · $49/mo Pro
noburn.dev addresses the two specific gaps LiteLLM leaves open: pre-flight cost enforcement and passthrough billing to end-users.
Pre-flight blocking means the SDK estimates the cost of each API call before it is sent. If the estimated cost would push a user over their remaining budget, the call is rejected locally — no tokens are sent, no charge is incurred. This is architecturally different from cumulative budget enforcement (which every other tool in this list uses), where the call that crosses the threshold still goes through.
Passthrough billing means you can automatically generate Stripe invoices for your end-users based on their LLM consumption, tracked per end_user_id. Stripe launched a private preview of native LLM token billing in March 2026, but it is not yet generally available. Among self-serve SaaS products in production, noburn.dev is the only tool in this comparison that ships passthrough billing as a built-in feature without requiring custom integration work.
Best for: SaaS founders who need to enforce per-customer spending limits and charge customers for their AI usage. Teams who want managed enforcement without running infrastructure.
Limitations: Provider breadth is narrower than LiteLLM (which supports 100+ providers). No self-hosted option for teams with data residency requirements.
2. Portkey
Type: Hosted SaaS + open-source gateway Pricing: Developer (free, 10k logs/mo) · Production ($49/mo, 100k logs/mo) · Enterprise (custom) GitHub: 10.2k stars
Confirmed: Palo Alto Networks announced its intent to acquire Portkey on April 30, 2026, pending close in Q4 FY2026. The announcement was confirmed by Lee Klarich, Chief Product Officer at Palo Alto Networks, and appears on Portkey's own pricing page. Strategic direction post-acquisition is not yet known.
Portkey is the most feature-complete hosted gateway available. The $49/mo Production tier includes fallbacks, load balancing, retries, semantic caching, guardrails, RBAC, full traces, and prompt management. If you need routing intelligence across providers, Portkey is the strongest option.
The budget enforcement limitation is real and documented: hard spending limits that block API calls are available to Enterprise customers only. The Production plan provides cost visibility — it does not prevent overruns. Per-user metering at the granularity needed for multi-tenant billing is also Enterprise-only.
Best for: Teams with complex routing requirements (fallbacks, load balancing, retries). Organizations that need compliance features (SOC2, GDPR, HIPAA) and can absorb Enterprise pricing.
Limitations: Budget enforcement requires Enterprise contract. Acquisition by a large security company may shift pricing and developer-friendliness over time.
3. Helicone
Type: Hosted SaaS + open-source gateway Pricing: Hobby (free, 10k req/mo) · Pro ($79/mo) · Team ($799/mo)
Confirmed: Helicone was acquired by Mintlify on March 3, 2026. Their blog post states: "After three years and 14.2 trillion tokens, we're excited to share that Helicone has been acquired by Mintlify." Helicone's own post confirms the product is now in maintenance mode: "Helicone's services will remain live for the foreseeable future in maintenance mode." New feature development under Mintlify has not been publicly detailed.
Helicone's core strength is the integration story: change one baseURL and get full LLM observability in minutes. No proxy configuration, no infrastructure. For teams that need cost visibility quickly, it remains the lowest-friction option in the category.
The limitation for LiteLLM migrants: Helicone is an observability and rate-limiting tool, not a budget enforcement gateway. You can see how much you spent per user (Pro+). You cannot stop a user from spending beyond a dollar threshold before the call fires.
Best for: Teams that need cost visibility fast with minimal setup. Teams that need per-user attribution for analytics without billing requirements.
Limitations: In maintenance mode under Mintlify — new feature development is not on the public roadmap. No budget enforcement (only rate limiting by request count). No passthrough billing.
4. Bifrost by Maxim AI
Type: Open-source AI gateway (Apache 2.0)
Pricing: Free (self-hosted)
GitHub: maximhq/bifrost
Bifrost is the strongest open-source LiteLLM alternative for teams that need hard budget enforcement without a hosted service. It is written in Go, which removes the Python GIL bottleneck. Verified benchmarks from the Maxim team show 11 microseconds of gateway overhead per request at 5,000 RPS sustained load, with 100% success rate.
The budget management features are confirmed from the repository: virtual key budgets, team-level budgets, and customer-level budget management — making it suitable for multi-tenant deployments where each customer needs its own hard spending limit enforced at the gateway layer. It supports 23+ providers through a single OpenAI-compatible API.
The fundamental constraint is the same as all self-hosted tools: you own the infrastructure, the database, the monitoring, and the upgrades.
Best for: Engineering teams that need multi-tenant budget enforcement, are comfortable with Go-based infrastructure, and want to stay fully open-source. Teams moving off LiteLLM who need better performance at scale.
Limitations: No hosted dashboard. No passthrough billing to end-users. Self-hosting required.
5. TensorZero
Type: Open-source LLM gateway (Apache 2.0) Pricing: Free (self-hosted)
TensorZero takes a different angle than every other tool in this list. Its core value proposition is using production traffic data to continuously improve prompts and model routing through structured experimentation and Bayesian optimization. It is an optimization and experimentation platform, not a cost control gateway.
It appears in searches for LiteLLM alternatives because it addresses routing and observability use cases. However, it does not block API calls based on spend, does not enforce per-user budgets, and does not integrate with billing systems. If cost enforcement is your primary requirement, TensorZero is not the right tool.
Best for: ML teams running structured A/B tests on prompts and models who want to improve output quality using production feedback.
Limitations: Not a cost enforcement tool. No budget blocking. No billing integration.
The Feature the Category Is Still Missing
Every team running an AI SaaS with paying customers eventually hits the same problem: some customers consume 50x more AI than others while paying the same flat subscription fee.
The solution requires two things working together: (1) enforcing a spending limit per customer before the overage happens, and (2) billing that customer for their usage automatically. These are distinct capabilities. Observability tools give you (1) visibility but not enforcement. Gateways like LiteLLM and Bifrost give you enforcement but not billing.
As of May 2026, among all tools evaluated here, only noburn.dev ships both as a built-in feature at a self-serve price point.
Frequently Asked Questions
What is the main limitation of LiteLLM for production SaaS?
LiteLLM's budget enforcement works at the virtual key and team level. It does not natively support per-customer budget enforcement with Stripe billing passthrough. SaaS companies that need to meter each of their end-users and invoice them for LLM usage must build this layer themselves on top of LiteLLM's spend tracking. A second concern for compliance-focused teams: a supply chain attack in March 2026 (CVE-2026-33634) introduced credential-stealing code into LiteLLM versions 1.82.7 and 1.82.8 via a compromised CI/CD pipeline, prompting security teams to audit their dependencies and evaluate alternatives with a smaller attack surface.
What is the fastest LiteLLM alternative?
Bifrost by Maxim AI is the fastest verified alternative, running at 11 microseconds of gateway overhead per request at 5,000 RPS in benchmarks published by the Maxim team. This is significantly lower than Python-based proxies, which are constrained by the GIL under concurrent load.
Does any LiteLLM alternative support passthrough billing to end-users?
Among self-serve SaaS products in production, noburn.dev is the only tool in this comparison that ships Stripe passthrough billing as a built-in feature. Stripe launched a private preview of native LLM token billing in March 2026, but it is not yet generally available. All other tools evaluated here — Portkey, Helicone, Bifrost, TensorZero — require custom billing code on top.
What is the difference between rate limiting and budget enforcement?
Rate limiting rejects requests when a count threshold is crossed (e.g., 1,000 requests per day). Budget enforcement rejects requests when a spending threshold is crossed (e.g., $10 per user per month). Pre-flight budget enforcement additionally estimates the cost of each individual request before sending it, rejecting calls that would exceed the remaining budget even if they haven't been sent yet.
Is Helicone still being developed?
Helicone was acquired by Mintlify on March 3, 2026, and is now in maintenance mode. Helicone's own post states: "Helicone's services will remain live for the foreseeable future in maintenance mode." New feature development under Mintlify ownership has not been publicly announced.
Is Portkey being acquired?
Yes. Palo Alto Networks announced its intent to acquire Portkey on April 30, 2026, pending close in Q4 FY2026. The announcement was confirmed by Lee Klarich (CPO, Palo Alto Networks) and appears on Portkey's own pricing page. Financial terms have not been disclosed.
Summary
| If you need... | Use... |
|---|---|
| Pre-flight enforcement + passthrough billing | noburn.dev |
| Complex routing + compliance features | Portkey |
| Fastest open-source gateway | Bifrost by Maxim |
| Cost visibility with minimal setup | Helicone |
| LLM optimization + experimentation | TensorZero |
LiteLLM is a strong starting point. The teams that outgrow it share a common pattern: they need enforcement at the customer level, not just the key level, and they need the billing to close automatically. That combination is still rare in this category.