Scientific and ML agents / Benchmark leaderboard

RE-Bench

Autonomous AI research and engineering tasks with varying time budgets.

No published company result yet.

This benchmark is in the research directory. Its task package, adapter and grading protocol need qualification before a hosted run can be offered.

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What this benchmark measures

Metrics

Task-specific improvement normalized by the published methodology.

Execution requirements

Research coding environment and fixed compute/time limits.

Scope and limitations

Small expert-designed suite; repeated exposure and resource differences can dominate comparisons.

Evaluation availability

Catalog entry. Request a managed evaluation to qualify your agent interface and the benchmark’s native grading requirements.

Sources and company fit

Companies whose products may fit

Research recommendations based on product capabilities. These companies have not necessarily run this benchmark or integrated with Blobfish.

Compatibility notes for each company

Anthropic: Capability-aligned; adapter/access to qualify

Google DeepMind: Capability-aligned; adapter/access to qualify

NVIDIA: Research / simulator adaptation

OpenAI: Capability-aligned; adapter/access to qualify

Sakana AI: Capability-aligned; adapter/access to qualify