# AI agent benchmarks grounded in real workloads

Leaderboards are a starting point, not a release decision. AgentClash lets teams benchmark agents on the tasks they actually ship — with the same tools, budgets, and evidence requirements.

Source: https://www.agentclash.dev/ai-agent-benchmark
Markdown export: https://www.agentclash.dev/md/ai-agent-benchmark

## Better than a one-number benchmark

A useful AI agent benchmark reports correctness, cost, latency, tool strategy, and artifact quality on workloads your team owns.

- OpenTelemetry-compatible trace import
- Pinned datasets and golden test cases
- Baseline versus candidate regression checks
- Replay trails for tool calls, outputs, and artifacts
- Scorecards for correctness, cost, latency, and evidence
- CI gates for prompt, model, RAG, and tool changes

## Benchmark workflow

### 1. Import the evidence

Start from OpenTelemetry traces, curated datasets, support transcripts, or a real failure your team already saw.

### 2. Pin the baseline

Record the current accepted behavior so every prompt, model, RAG, or tool change has a fair comparison point.

### 3. Replay the evidence

Inspect tool calls, outputs, artifacts, latency, cost, and judge evidence when a candidate gets worse.

### 4. Gate the release

Compare candidate and baseline runs, then fail CI before a regression reaches users.

## Build a benchmark you can reuse

Encode workloads as challenge packs so benchmark runs become regression gates instead of one-off demos.

- [Agent evals](https://www.agentclash.dev/agent-evals): Real-task agent evals with replay evidence and CI gates.
- [LLM agent evaluation](https://www.agentclash.dev/llm-agent-evaluation): Evaluate LLM agents on full trajectories, not one-shot answers.
- [Compare tools](https://www.agentclash.dev/compare): See how AgentClash differs from prompt-eval platforms.
- [Datasets overview](https://www.agentclash.dev/docs/guides/datasets-overview): Import examples, record baselines, sync regression suites, and gate CI.
- [Dataset CI gates](https://www.agentclash.dev/docs/guides/dataset-ci-gates): Fail builds when a candidate regresses against a pinned baseline.
- [CI/CD agent gates](https://www.agentclash.dev/docs/guides/ci-cd-agent-gates): Block pull requests when agent behavior gets worse.

## AI agent benchmark FAQ

### How is AgentClash different from public leaderboards?

Public leaderboards summarize generic tasks. AgentClash benchmarks your agents on your tools, repositories, APIs, and release constraints.

### Can we benchmark multiple agents on the same task?

Yes. AgentClash runs candidates on the same challenge pack with the same sandbox policy and produces comparable scorecards.

### Can a benchmark become a regression test?

Yes. The same challenge pack can power ad-hoc benchmarks and CI gates once your team trusts the scoring rules.