TOLOKA ARENA
Independent evaluation
for agentic intelligence.
Compare frontier systems on private, non-contaminated tasks designed to measure the reliability real work demands.
TOLOKA ARENA
Agentic intelligence index
pass⁵ reliability score
Composite pass⁵ score across tool-use evaluations. Error bars show confidence intervals from repeated private task trials. Higher is better.
PRIVATE BENCHMARKS, PRACTICAL SIGNAL
See how systems perform
when the task is new.
Toloka Arena evaluates the full task trajectory—not a single final answer—so teams can compare dependable agent behaviour under realistic constraints.
EFFICIENCY
Performance vs. cost
PROGRESSION
Models over time
EVALUATION DATA
Need a sharper signal?
License curated agent environments, task libraries, and evaluation data for your own training and deployment workflow.
Browse datasets ↗EVALUATION PROFILE
What it takes to run.
INPUT, OUTPUT, AND TOTAL
per complete benchmark
Tokens used
Full-suite cost
EVALUATION AREAS
Measure the work that matters.
Tool use
Multi-turn operational work with permissions, policies, and live data dependencies.
Browser workflows
Navigation, information extraction, form completion, and judgement across complex web tasks.
Software delivery
Repository-aware engineering tasks that test planning, execution, and verification.
DOMAIN STANDINGS
Performance by environment.
SCORES UPDATED
September 2026
Manufacturing ops
Reliability across production workflows
Explore environment ↗Internal operations
Policy-aware business process tasks
Explore environment ↗Marketplace service
Customer and inventory resolution
Explore environment ↗Travel coordination
Time-sensitive booking changes
Explore environment ↗Restaurant operations
Service coordination and exception handling
Explore environment ↗Supply chain
Inventory, routing, and status tasks
Explore environment ↗METHODOLOGY
A reliability score,
not a demo score.
Toloka Arena tests agents in controlled, realistic environments with live tools, changing context, and business rules. We repeat equivalent tasks to capture whether a system is consistently useful, not just occasionally correct.
- 01
- Fresh environmentsTasks and data are held out from model training and public benchmark contamination.
- 02
- End-to-end successScoring considers correct tool use, policy adherence, and a completed task state.
- 03
- Repeated trialsEvery score aggregates independent task attempts to surface reliability and variance.
EVALUATE YOUR MODEL
Put it on a private task suite.
Tell us what you need to measure. We’ll propose an Arena evaluation program for your model or product.