Agent Router vs MTPLX

Agent Router and MTPLX are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Agent Router

Agent Router is a gateway that sits in front of multiple LLM providers and exposes a single OpenAI-compatible endpoint, so any framework that already speaks to OpenAI drops in without a rewrite. The prepaid credits model means you load credits once and route across providers without managing per-provider subscriptions. Routing decisions can steer traffic toward lower-cost models, which matters when agent loops make hundreds of small calls per task. The ceiling appears when you need dynamic routing logic — branching based on latency, error rate, or output quality — because a passive gateway does not make those decisions for you. Teams that need intelligent failover or cost-aware model selection based on task type end up writing that logic themselves on top of the gateway.

MTPLX

The vendor states a 2.24× decode speedup on Qwen3-27B running on an M5 Max MacBook Pro, achieved by using the model's own built-in MTP heads as the drafter — no second model loaded, no external checkpoint to maintain. Acceptance is handled via Leviathan–Chen rejection sampling with a residual (p − q)+ correction, verified bit-exact against single-token autoregressive output. It serves an OpenAI- and Anthropic-compatible API, so downstream tooling like Claude Code, Cline, or the openai-python SDK connects without shims. The wall appears immediately if you leave Apple Silicon: the runtime is explicitly Apple Silicon only, and the custom Metal kernels have no CUDA path.

Attribute	Agent Router	MTPLX
Pricing	Paid	Free
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	No	Yes
Platforms	Web, API	macOS (Apple Silicon)
Released	—	2025
Pros	Single OpenAI-compatible endpoint across Claude, OpenAI, and Gemini, so existing frameworks and coding tools drop in without a client rewrite — eliminating the per-provider SDK sprawl that breaks when any one provider changes their auth scheme. Prepaid credits pooled across providers, which means one balance covers all model traffic instead of managing separate subscription renewals that expire on different cycles. No subscription required, so teams with bursty or project-based usage pay only for what they send — avoiding the sunk cost of monthly minimums when a project goes quiet. Usage tracking at enterprise scale, which gives operations teams a single dashboard to audit model spend across multiple agents or projects instead of reconciling invoices from three providers. API access included, so the gateway itself can be called programmatically — enabling teams to integrate routing into deployment pipelines or cost monitoring scripts without manual intervention.	Leviathan–Chen rejection sampling with residual correction produces bit-exact output at temperature > 0, so agent workflows that depend on non-greedy sampling get the correct distribution instead of a silent approximation that drifts results unpredictably. The drafter lives inside the target checkpoint's own MTP heads, which means no second model in memory — on a MacBook with 64–128 GB unified memory, that headroom stays available for context or parallel sessions rather than a dedicated draft model. OpenAI- and Anthropic-compatible API endpoints with streaming SSE, so tools like Claude Code, Cline, Continue, and the openai-python SDK connect without a translation layer or custom adapter. The vendor reports 2.24× decode speed on Qwen3-27B at temperature 0.6/top_p 0.95 on an M5 Max — meaning you get more tokens per second without switching to a smaller model or lowering temperature to approximate greedy. Apache-2.0 license with no cloud tier or usage telemetry mentioned in the docs, which means inference stays entirely on local hardware — no prompt data leaves the machine.
Cons	Routing is passive: Agent Router forwards requests to whichever model you specify in the call, but it does not automatically failover to a secondary provider when the primary returns errors or latency spikes. Teams that need resilient multi-provider routing write that detection and retry logic themselves, at which point Agent Router is one layer of several they maintain. No self-hosted deployment path means all traffic passes through Agent Router's infrastructure. Teams under data residency mandates or security policies that prohibit third-party API proxies cannot use this — they switch to a self-hostable alternative like LiteLLM or a custom gateway. Granular per-agent and per-project usage breakdowns are a paid-only feature. Teams on free credits who need to allocate costs across multiple internal projects hit this wall as soon as finance asks for a breakdown, and either upgrade or instrument their own logging at the call site. The scraped page requires JavaScript to render content, which suggests the documentation and configuration references live behind a client-rendered interface — teams evaluating integration details before committing cannot inspect endpoint specs or provider coverage without running the app.	The runtime is Apple Silicon only, with custom Metal kernels and no CUDA path: the moment your deployment target is a Linux server, a cloud VM, or a Windows workstation, this tool is not an option and teams move to vLLM or llama.cpp instead. MTP speculative decoding requires models that ship with native MTP heads in their checkpoint — models without those heads get no speedup and fall back to standard autoregressive decode, which means the 2.24× figure applies only to a specific subset of supported architectures. The project is at v0.1.0-preview.1 and built by a single developer: production teams that need an SLA-backed issue resolution path, a security response process, or a multi-maintainer commit history will hit that wall before they finish the proof-of-concept.

Bottom line

Agent Router is paid while MTPLX is free; MTPLX is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Agent Router and MTPLX?

Agent Router is Paid, while MTPLX is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Agent Router better than MTPLX?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.