Precision data for Frontier AI

  • 2,500+Companies using HackerRank
  • 31M+Developer community
  • 172K+Assessments delivered daily

Leveraging 14 years of experience evaluating developers across real systems, real trade-offs, and real verification.

Trusted by leading companies

  • Google
  • Amazon
  • Uber
  • NVIDIA
  • Microsoft
  • Replit
  • Salesforce
  • Oracle
  • TikTok
  • PayPal
  • LinkedIn
  • Scale AI
  • Snowflake
  • TCS

Evaluation infrastructure, from task to evidence

  • Astra Gyms: RL environments

    Executable environments for repository-scale and long-horizon agent work. Each gym combines a realistic task, reproducible workspace, agent tooling, private verifier, partial-credit scoring, and evaluation evidence. Built on HackerRank’s experience creating practical, verifiable engineering assessments.

  • Benchmarking and model intelligence

    Evaluate tasks across models, reasoning settings, and repeated runs. Reports combine capability-level scores with trajectories, logs, runtime, and failure evidence, helping teams compare model quality, consistency, and cost without reducing the results to a single leaderboard.

  • Expert-created training and evaluation data

    Qualified developers and domain experts create tasks, review verifiers, assess agent output, explain failure patterns, and produce corrected demonstrations. Astra manages expert sourcing, delivery, and quality review, with datasets and agent traces tailored to each customer’s training or evaluation needs.

  • Commissioned community programs

    Run high-volume, non-confidential data and evaluation programs through HackerRank’s developer community and formats such as Orchestrate, our agent-building hackathon. This is suited to programs that need broad participation, varied solution approaches, and evidence for task difficulty calibration.

How frontier models score across our benchmark

We evaluate thirteen model families at Medium and High reasoning effort on the same long-horizon software engineering tasks, run multiple times against a private, versioned execution harness. Each bar shows the mean score across runs, with the observed range marked directly on it.

Composite score by model and reasoning effort

Showing 26 configurations across 13 models.

Reasoning effort
Order by
High reasoningMedium reasoning
Claude Opus 5
GPT-5.6 Sol
Kimi K3
Grok 4.5
Gemini 3.7 Flash
Claude Sonnet 5
Grok 4.6
Qwen 3.8
GPT-5.6 Terra
GPT-5.6 Luna
GLM 5.2
MiniMax M3
DeepSeek V4 Pro
Learn more about our benchmarking

Real systems, not isolated coding puzzles.

Astra builds end-to-end, long-horizon software engineering tasks that ask agents to navigate the dependencies, constraints, and failure modes that make engineering work hard to evaluate.

Enterprise user provisioning, distributed GDPR data deletion, application migrations, and incident recovery — balancing security, latency, reliability, scale, and cost.

  1. 01APIs
  2. 02Data stores
  3. 03Background processing
  4. 04Authentication
  5. 05Observability
  6. 06Deployment

Expert network at scale, across every domain

HackerRank provides access to qualified experts with relevant engineering and domain experience, already delivering against frontier lab programmes. We manage sourcing, delivery, and quality review.

Credentials mix
  • 60%Senior+ engineers
  • 20%PhD / research
  • 15%Domain specialists
  • 5%Other

Explore working with us

Build evaluation environments, verifiers, and data programs around the capabilities you need to understand.