research benchmark
ResearchClawBench Leaderboard
ResearchClawBench evaluates research agents on realistic, tool-using research tasks that require code execution and filesystem workspace interaction.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
ResearchClawBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Score16.9% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
ResearchClawBench Highlights
The leading models and scores on this benchmark.
The Top AI Models for ResearchClawBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis researchclawbench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01XIMiMo-V2.5Xiaomi
- Score
- 16.9%
- Price
- $0.14 input / $0.28 output per 1M tokens
- Speed
- Up to 87 tok/s via Novita
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures ResearchClawBench, not total model capability
Selection summary
Best AI Models for ResearchClawBench
MiMo-V2.5 currently leads ResearchClawBench with 16.9%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is ResearchClawBench?
What ResearchClawBench measures and how its scores work.
ResearchClawBench evaluates research agents on realistic, tool-using research tasks that require code execution and filesystem workspace interaction.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ResearchClawBench
- Modality
- text
- Primary category
- research
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- researchclawbench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ResearchClawBench.
Which model scores highest on ResearchClawBench?
MiMo-V2.5 is currently ranked first with 16.9%.
What does ResearchClawBench measure?
ResearchClawBench evaluates research agents on realistic, tool-using research tasks that require code execution and filesystem workspace interaction.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.