Comparisons

Different question, different tool.

rightmodeler is an offline audit that measures cheaper models against outputs you already accepted. Gateways, observability platforms, eval frameworks, routers, spend meters, context layers, model trainers, and benchmarks each answer a different question; rightmodeler reads traces from some and replays through others. Each page draws the line.

The rails

They move your live requests. rightmodeler reads the requests some of them log, replays through others as test benches, and hands back a decision, not a proxy.

OpenRouterOpenRouter routes live traffic and, on Auto, picks models from community spend. rightmodeler replays your traces against outputs you accepted. They compose.
LiteLLMLiteLLM runs your request path: one API, budgets, fallbacks. rightmodeler replays your traces offline to measure which model belongs at each step. Keep both.
Vercel AI GatewayVercel AI Gateway serves and meters your live model calls. rightmodeler replays your traces to test cheaper models first. Complement: same credits, two jobs.
HeliconeHelicone routes and logs your model traffic, so you can see where the bill goes. rightmodeler replays those logged requests on cheaper models before any swap.
BifrostBifrost executes your model calls with fallbacks, budgets and caching. rightmodeler reads its request logs and replays through it to decide which model to call.
PortkeyPortkey, now Prisma AIRS AI Gateway, runs and governs live AI traffic. rightmodeler replays your traces through its open-source gateway to test cheaper models.

The observers

They trace, evaluate, and improve your agent where it runs. rightmodeler reads the traces most of them keep and decides which model each step should call.

BraintrustBraintrust holds your agent to evals you author. rightmodeler checks cheaper models against the outputs you shipped, step by step. They compose.
LangSmithLangSmith traces agents, and Engine proposes fixes for recurring failures. rightmodeler tests cheaper models per step on its exports, with evidence you approve.
LangfuseLangfuse is an open-source AI engineering platform. rightmodeler reads its exports, tests cheaper models per step, and lets your Langfuse scorers grade them.
Arize PhoenixArize Phoenix replays spans and compares models side by side. rightmodeler turns the spans you export into a per-step swap decision and a draft PR you merge.
W&B WeaveW&B Weave traces, scores, and monitors production agents. rightmodeler replays the calls Weave recorded on cheaper models and proposes reviewed model swaps.
OpikOpik, by Comet, traces your agent, tests it, and optimizes its prompts. rightmodeler replays each recorded step on cheaper models and opens a model-only PR.
LangWatchLangWatch tests agents with simulated users, and its Langy agent opens fix PRs. rightmodeler replays recorded steps on cheaper models and opens model-only PRs.

The graders

They grade outputs with what you assemble: metrics, assertions, datasets, calibrated judges. rightmodeler asks which steps overpay to clear that bar, on the traces you already have.

promptfoopromptfoo tests what you ship next against cases you author. rightmodeler audits what you shipped against accepted outputs. Different stages of the same loop.
ModaicModaic calibrates and aligns the models that make judgment calls. rightmodeler uses a judge to decide which model each agent step needs, offline. They compose.
DeepEvalDeepEval is an open-source eval framework, and Confident AI its platform. rightmodeler tests cheaper models per step on your traces; your DeepEval CI gates it.
RagasRagas gives you metrics, test data generation, and experiments to assemble your own evals. rightmodeler is one finished audit: which model each step needs.

The routers

They predict the right model per request, at runtime. rightmodeler measures it per step, at release time.

Not DiamondNot Diamond predicts the best model per request, live. rightmodeler measures which model belongs at each step, offline, from your traces. Different clocks.
MartianMartian is a research lab with a name-the-model gateway; its router is legacy. rightmodeler replays traces offline to pick each step's model. Different jobs.
RiftenRiften routes each request live and learns from outcomes toward models you own. rightmodeler audits your traces offline and proposes swaps as reviewed PRs.
ConiferConifer routes coding-agent turns live across cloud and local models. rightmodeler tests your app's model defaults on your traces before any change ships.

The meters

They show where AI spend goes, or trim what each call carries. rightmodeler asks whether each step needs the model it pays for.

CodagCodag shrinks the tool output coding agents read and leaves the model alone. rightmodeler checks whether each step needs its model. They stack, in order.
MentlioMentlio meters and trims what engineers spend on AI coding tools, live, on each device. rightmodeler measures which model each step of your own agent needs.

The coaches

They improve what your agent sees at runtime, with context learned from its past runs. rightmodeler changes which model each step calls, not what it sees.

MirrorsMirrors learns from your agent's past sessions and routes the right context at runtime. rightmodeler checks which model each step needs. Two levers that stack.

The trainers

They train a custom model on your data. rightmodeler measures the models you can already call, step by step, against outputs you accepted.

Agnost AIAgnost AI monitors agents in production and, per its YC profile, trains custom models from those conversations. rightmodeler picks cheaper existing models.
ThirdBrain LabsThirdBrain Labs helps domain experts train models they own. rightmodeler checks which rented model each step needs, from your traces. Adjacent, not a swap.

The scorekeepers

They rank models on benchmark test sets, shared or your own. rightmodeler decides which model each step in your code calls and proposes the change as a pull request you review.

Vals AIVals AI scores models on expert-built benchmarks with private test sets and open-sources its eval tooling. rightmodeler tests cheaper models on your traces.
The Open FrontierThe Open Frontier, built by Together AI, shows Artificial Analysis scores and prices for open models. rightmodeler tests cheaper models on your own traces.
Artificial AnalysisArtificial Analysis's Optima ranks models on a benchmark built from your own tasks. rightmodeler tests cheaper models at each call site and opens a draft PR.
RelatedHow it worksReduce LLM costsIntegrations