See which model path deserves the workload.

Run the same workload across local inference, hosted APIs, and router layers. Compare latency, throughput, cost, and output quality in one place before you commit to a model, a serving stack, or a fallback path.

Request Access How It Works

Start with one representative workload. The private beta is request-based; pricing and access are confirmed after workload fit is clear.

What BitterBench does

It gives model and runtime choices a shared frame of reference.

Most evaluation work still lives in separate vendor dashboards, ad hoc notebooks, and shell scripts that never quite line up. The result is more opinion than comparison.

BitterBench keeps the job fixed while the execution path changes, so the tradeoffs become easier to see and the stronger option becomes easier to defend.

One job: Keep the same prompt, limits, schema, and acceptance criteria across every run.
Every path: Compare local inference, direct model APIs, router layers, and custom serving setups in the same bench.
One record: Keep timing, tokens, cost, failures, and output review attached to the same result.

Questions it should settle

Should this workload run locally?

See whether local inference is the better fit on speed, cost, and reliability for the work at hand.

Is the router helping or just adding cost?

Compare direct provider calls against router layers so latency, pricing spread, and output drift come into view.

Which stack is good enough to trust?

Put runtimes, providers, and fallback paths on the same bench before you let them carry live traffic.

What each run makes visible

A receipt for the decision, not another benchmark screenshot.

Each comparison keeps the workload definition, run metrics, cost inputs, output artifacts, and failure notes together so a team can explain why a path did or did not earn production traffic.

Performance

Queue time, first-token delay, decode rate, and total wall time.

Spend

Token counts, request cost, and the practical premium of convenience layers.

Output

Response artifacts tied back to the exact run so quality is reviewed alongside speed.

Comparisons

One shared workload definition so every comparison is actually apples to apples.

Request access

BitterBench is opening quietly with teams facing real model decisions now.

If you are comparing local inference against hosted models, testing router layers, or trying to decide where a workload should live, request access and tell us what you are evaluating.

We are prioritizing teams with a concrete workload, a clear evaluation question, and a live decision in front of them.

There is no public checkout yet. The fastest path is to request access with one workload and the decision you need the benchmark to support.

Questions before you request access? Reach us through BitterDesk support.