Compare · Portkey
A Portkey alternative for cutting the cost of repeated LLM tasks
Portkey is a broad AI gateway: a universal API, logs and traces, guardrails, caching and routing. ModelGate covers fewer providers and fewer gateway features, and focuses on one question Portkey's reviewed documentation doesn't: can a task you pay for again and again run on a cheaper model, plain code or a small open model — tested against your own recorded answers and delivered as a pull request?
Where ModelGate is different
- It works from your repository as well as your traffic: findings point at the file and line, and fixes open as pull requests you merge.
- For rule-like tasks it proposes plain code, tested against your model’s own recorded answers; when code can’t match them, a small open model may.
- Pricing is a base fee plus a share of realized savings — see pricing for the full terms.
We found none of the first two in Portkey’s reviewed documentation. That is not proof they don’t exist.
Where Portkey is stronger
- Load balancing, retries and fallbacks, plus a semantic cache on select Enterprise plans — ModelGate has an exact cache only and no load balancing.
- 20+ built-in deterministic and LLM-based guardrail checks, plus partner guardrails such as Aporia and Pillar.
- An open-source gateway and private-cloud / VPC hosting on Enterprise — ModelGate is a hosted service.
- A free developer tier (10k logs a month), and Production pricing based on logged requests.
Stay with Portkey if your priority is broad provider coverage, routing and load balancing, or self-hosting — ModelGate supports four providers.
| Criterion | ModelGate | Portkey |
|---|---|---|
| Request and cost observability | AvailableEvery request logged, failed ones included, and priced against a versioned rate table. Four providers: OpenAI, Anthropic, Google Gemini, Azure OpenAI.Details: ModelGate documentation | AvailableLogs, traces, custom metadata and cost attribution across a universal API.Source: Portkey — Pricing (opens in a new tab) |
| Budgets and access controls | AvailablePer-project monthly spend cap (402), requests-per-minute per key (429), token ceilings (413); scoped API keys; agency roles and per-client caps. No SSO.Details: ModelGate security | Higher plans onlyRBAC and service-account keys on paid plans. Cost and token budget limits are listed for Enterprise and select Pro users.Source: Portkey — Pricing (opens in a new tab) · Source: Portkey docs — Budget limits (opens in a new tab) |
| Security guardrails | LimitedBuilt-in heuristic detectors: prompt-injection scoring, 17 secret signatures plus an entropy pass, 6 personal-data types. Detect on every plan; enforce on paid plans. No content-moderation categories.Details: ModelGate security | Native + integrations20+ built-in deterministic checks and LLM-based checks (including prompt injection), plus partner guardrails such as Aporia and Pillar.Source: Portkey docs — Guardrails (opens in a new tab) |
| Caching and model routing | LimitedExact cache only (temperature 0, no tools, 24 h). Routing moves small, simple calls to a fixed same-provider cheaper model; retry plus one secondary provider. No semantic cache or load balancing.Details: ModelGate documentation | AvailableSimple cache on all plans; semantic cache on select Enterprise plans. Load balancing, retries and fallbacks.Source: Portkey docs — Simple and semantic cache (opens in a new tab) · Source: Portkey — Pricing (opens in a new tab) |
| Repository analysis | LimitedGitHub only. Reads the repositories you choose in memory and maps LLM calls to file and line (JavaScript/TypeScript and Python). Source is not stored.Details: ModelGate docs — GitHub connection | Not confirmed in reviewed documentationNo mention found in the pages reviewed. |
| Integration and optimization pull requests | LimitedA setup PR that points OpenAI SDK clients at the gateway; one-line PRs for a model switch or a lower output limit; a PR that adds a verified code replacement. Always on a new branch.Details: ModelGate docs — GitHub connection | Not confirmed in reviewed documentationNo mention found in the pages reviewed. |
| Deterministic code replacement | LimitedOnly for rule-like tasks (a few fixed labels, extraction, JSON reshaping, arithmetic, simple image checks) with 50+ recorded calls and prompt and response storage on.Details: ModelGate docs — code replacements | Not confirmed in reviewed documentationNo mention found in the pages reviewed. |
| Validation and customer approval of changes | AvailableCode replacements must match 95% of 30+ held-out recorded answers. Model-switch PRs point to an optional replay eval. Every PR is merged by you; gateway optimizations are off until you switch them on.Details: ModelGate docs — code replacements · Details: ModelGate docs — GitHub connection | Not confirmed in reviewed documentationNot applicable as reviewed: no code-change workflow found to validate. |
| Deployment options | LimitedHosted service only. ModelGate OSS is a separate local-first gateway (v0.1) with a smaller feature set.Details: ModelGate OSS | AvailableCloud, open-source gateway, and private-cloud / VPC hosting on Enterprise.Source: Portkey — Pricing (opens in a new tab) |
| Pricing structure | Available$99/month (1 project, +$29 per extra) or $199/month for agencies (5 clients, +$29 per extra), plus 30% of realized savings and 30% of savings from changes made from suggestions for 3 months. 14-day trial.Details: ModelGate pricing | AvailableFree developer tier (10k logs/month); Production $49/month for 100k logs, $9 per extra 100k; Enterprise custom.Source: Portkey — Pricing (opens in a new tab) |
Request and cost observability
Budgets and access controls
Security guardrails
Caching and model routing
Repository analysis
Integration and optimization pull requests
Deterministic code replacement
Validation and customer approval of changes
Deployment options
Pricing structure
“Not confirmed in reviewed documentation” means we found no mention — not that the feature is missing. ModelGate OSS, a separate local-first gateway with a smaller feature set, is not counted here.
Trying ModelGate from Portkey
ModelGate speaks the OpenAI Chat Completions API, streaming included. Remove Portkey-specific headers and config; ModelGate needs only its base URL and your ModelGate key. You see the cost per task first; nothing in your code changes until you merge a pull request.
from openai import OpenAI
client = OpenAI(
base_url="https://gw.modelgatehq.com/v1",
api_key="YOUR_MODELGATE_KEY",
)Full setup, providers and limits are in the documentation. To see what a repeated task looks like as code, read replacing LLM calls with code.
Sources
Portkey’s own product pages and documentation, reviewed 7 October 2026. Vendors change quickly — check the source before deciding.
- Portkey — Pricing
- Portkey docs — Budget limits
- Portkey docs — Guardrails
- Portkey docs — Simple and semantic cache
Spotted something out of date? Tell us at support@modelgatehq.com and we’ll correct it.